Category Archives: Artificial Intelligence
Artificial Intelligence (AI) in Medical Diagnostics Market worth $5.5 billion by 2027 – Exclusive Report by MarketsandMarkets – PR Newswire
CHICAGO, Oct. 5, 2022 /PRNewswire/ --Artificial Intelligence (AI) in Medical Diagnostics Marketis projected to grow from USD 1.0 billion in 2022 to USD 5.5 billion by 2027, at a CAGR of 39.9% from 2022 to 2027, according to a new report by MarketsandMarkets.The application of AI in medical diagnostics is growing at a fast pace owing to factors such as growing government initiatives to drive the adoption of AI-based technologies, rise in adoption of AI solutions by radiologists to reduce work load, the influx of big data, availability of funding for AI-based startups, and the growing number of cross-industry partnerships & collaborations.
However, the lack of a skilled AI workforce, ambiguity in regulations, and the reluctance among medical practitioners to adopt these solutions are factors expected to restrain the market growth.
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Browse in-depth TOC on"Artificial Intelligence (AI) in Medical Diagnostics Market"
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"Software segment is expected to grow at the highest rate during the forecast period."
The AI in medical diagnostics market is segmented based on components: software and services. The services segment dominated the market in 2021, while the software segment is estimated to grow at a higher CAGR during the forecast period. Software solutions help healthcare providers gain a competitive edge despite the challenges of being short-staffed and facing increasing imaging scan volumes.
"The Nurse Call system segment is estimated to account for the largest share of the global market in 2022"
The application market in AI in the medical diagnostics market is segmented into in vivo and in vitro diagnostics. The in vivo diagnostics segment commanded the largest share of 96.8% of this market in 2021. The large share of this segment can be attributed to the growing adoption of AI solutions by practitioners, as these solutions help reduce human errors and improve treatment efficacy.
"The Hospital segment is estimated to account for the largest share of the AI in medical diagnostics market."
Based on end users, the AI in medical diagnostics market is segmented into hospitals, diagnostic imaging centers, diagnostic laboratories, and other end users. The hospitals segment commanded the largest share of 64.1% of this market in 2021. The large share of hospital segment can be attributed to the rising number of diagnostic imaging procedures suggested as treatment options in hospitals, the inclination of hospitals toward the digitization of radiology patient workflow and automation of treatment procedures, rise in use of minimally invasive procedures in hospitals to focus on quality of patient care, and the rising adoption of advanced imaging modalities to improve workflow efficiency.
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"North America to dominate the AI in medical diagnostics market in 2022"
The AI in medical diagnostics market has been segmented into four main regional segments: North America, Europe, the Asia Pacific, and the Rest of the World. In 2021, North America accounted for the largest market share of this market.
However, the Asia Pacific market is projected to register the highest CAGR during the forecast period. The high growth rate of the Asia Pacific market can primarily be attributed to the growth strategies companies adopt in emerging markets, improved medical diagnostics infrastructure, rising geriatric population, increasing prevalence of cancer, and the implementation of favorable government initiatives.
Prominent players in this artificial intelligence in medical diagnostics market are Microsoft (US), NVIDIA (US), IBM (US), Intel Corporation (US), Google, Inc.(Subsidiary of Alphabet, Inc) (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics, Inc (US), Xilinx (US), InformAI LLC (US), HeartFlow, Inc (US), Enlitic, Inc (US), Day Zero Diagnostics, Inc(US), Aidence (Netherlands), Butterfly Network, Inc. (US), Prognos Health (US), Nanox AI (Israel), Viz.ai, Inc (US), Quibin (Spain), Qure.ai (India), Therapixel (France), Aidoc (Israel), Koninklijke Philips N.V. (Netherlands), Lunit. Inc (South Korea), EchoNous Inc. (US).
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Using robots and artificial intelligence in greenhouse horticulture – hortidaily.com
Robotics and AI are not panaceas for solving labor shortages or other product-related problems. But in the next decade, robots and crop-support software are going to take certain tasks out of the hands of the high-tech greenhouse.
Growers are not going to produce more cheaply because of robotization and digitization, but mostly differently. Managing larger and more international companies will become easier, management skills will change, and closer cooperation with suppliers and customers will be possible. Pests can also be dealt with earlier, more sustainably, or more precisely, or the quality of the final product can be improved. All of this has a great potential value that is difficult to assess.
Lack of labor and the cost of labor are major drivers of robotization. The knowledge and skills of horticultural companies are indispensable in developing robots and AI. For robotics players, connecting with the right growers and quickly adapting products based on experience, service, and convenience are examples of success factors.
For growers, there are several options for applying innovations in robotics and AI. From co-investing in the companies to cautiously trying via a (trial) subscription.
In the future, an entirely different automated growing system is a smarter solution for certain crops. But this requires substantial investments and many adjustments, e.g., in varieties. Robotization and digitization also have disadvantages. Consider the growing dependence on large software companies, cyber risks, less flexibility, negative consumer perception, and less diversity of companies and products.
Read the report (in Dutch) here.
For more information:Rabobankwww.rabobank.com
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Using robots and artificial intelligence in greenhouse horticulture - hortidaily.com
China’s Artificial Intelligence Market Will Exceed US$26.7 Billion by 2026, according to IDC – IDC
SINGAPORE, October 4, 2022 IDC recently released the IDC Worldwide Artificial Intelligence Spending Guide. Data shows that total global IT investment in artificial intelligence (AI) in 2021 was US$92.95 billion, expected to increase to US$301.43 billion in 2026, and the compound annual growth rate (CAGR) was about 26.5%. As for the China market, IDC predicts that China's AI investment is expected to reach US$26.69 billion in 2026, accounting for about 8.9% of global investment, ranking second in the world among other countries. In recent years, more and more enterprises have become involved in the Digintelligence Era and started the deployment of digital transformation (DX) and intelligent upgrading, which has thus spawned more demand for AI. Driven by policies, technologies, and markets, AI empowering industries is becoming a mainstream development trend.
Technology Dimension
Over the next five years, the hardware market will be the largest primary market in China's AI market, accounting for more than half of the total AI investment. IDC predicts that China's IT investment in the AI hardware market will exceed US$15 billion in 2026, close to that of the AI hardware market size of the United States. With the gradual improvement of AI infrastructure construction, hardware growth will gradually slow down, with the five-year CAGR remaining around 16.5%. The server market, as the main part of the hardware market, will account for over 80% over the five-year forecast period.
At the same time, the services market will expand at a faster pace, with the five-year CAGR expected to be about 29.6%. Total investment in the services market is expected to exceed US$4 billion in 2026, nearly four times the investment in 2021, with significant market growth. The AI services market as defined by IDC is mainly dominated by the IT services segment. IDC predicts that IT services will lead the services market growth at a five-year CAGR of 31.0%.
From the perspective of AI software, under the joint promotion of the gradual development of technologies including machine learning (ML) and computer vision, China's policy environment, and the gradually diversified customer needs, China's AI software market share will increase year by year, and more than 25% of the AI marketrelated IT investment will flow to software in 2026. In terms of growth rate, the AI software market will become the fastest-growing primary market during the five-year forecast period, with a five-year CAGR of about 30.4%. From the perspective of the technology segment, AI platforms will absorb more than 70% of software-related spending over the next five years and will become an important driving force for software market growth at a five-year CAGR of 33.1%.
Industry Application
IDC predicts that the AI-related spending of users in the four major endpoint industries professional services, government, finance, and telecom will continue to lead over the five-year forecast period, which will collectively exceed 60% of the total spending of China's AI market. Specifically, local governments. AI spending will lead AI investment growth with a five-year CAGR of 24.3% and is expected to exceed US$2.51 billion in 2026; and it is expected that the central government will have a five-year CAGR of 19.4% and reach US$1.37 billion in 2026. The market size of the financial sector represented by banks will continue to grow over the next few years, with the five-year CAGR expected to exceed 21.0%. In addition, the construction, discrete manufacturing, and healthcare industries have also achieved high growth rates, jointly promoting the development and application of China's AI. In the future, AI will be applied in various industries, with expansion in both width and depth. It will further effectively support the industries to achieve intelligent marketing and decision-making. At the same time, the deep integration of AI with industries will stimulate more potential and foster more business opportunities.
Use Case
Based on research conducted on the industries mentioned earlier, IDC Worldwide Artificial Intelligence Spending Guide covers 29 typical key AI use cases, which will be updated to reflect the market dynamics. Three use cases, namely, augmented customer service agents, public safety and emergency response, and smart business innovation and automation, will continue to remain dominant. The three together will account for more than 30% during the five-year forecast period. Currently, there are mature applications of AI in various industry use cases. It completes independent judgment and behavior learning through technologies, such as deep learning, computer vision, and image recognition, to solve a variety of complex tasks, laying an important foundation for the intelligent transformation of the industry. In use cases, customer service agents are developing rapidly, with cases in finance, retail, and other industries. Public safety and emergency response are mainly involved in the field of government security, and biometrics is used for fingerprint and face recognition. In the future, with the increasing development of AI chips, 5G, and other technologies, AI will also be better implemented in more fields.
-Ends-
About IDC Spending Guides
IDC's Spending Guides provide a granular view of key technology markets from a regional, vertical industry, use case, buyer, and technology perspective. The spending guides are delivered via pivot table format or custom query tool, allowing the user to easily extract meaningful information about each market by viewing data trends and relationships.
For more information about IDC's Spending Guides, please contact Vinay Gupta at vgupta@idc.com or Xueqing Zhang at xuqzhang@idc.com
Click here to learn about IDC's full suite of data products and how you can leverage them to grow your business.
About IDC
International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,300 analysts worldwide, IDC offers global, regional, and local expertise on technology and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly-owned subsidiary of International Data Group (IDG), the world's leading tech media, data and marketing services company. To learn more about IDC, please visit http://www.idc.com. Follow IDC on Twitter at @IDCAP and LinkedIn. Subscribe to the IDC Blog for industry news and insights.
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China's Artificial Intelligence Market Will Exceed US$26.7 Billion by 2026, according to IDC - IDC
U.S. Artificial Intelligence Market in the Education Sector to Grow by $374.3 Million During 2022-2026 – ResearchAndMarkets.com – Business Wire
DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence Market in the Education Sector in US 2022-2026" report has been added to ResearchAndMarkets.com's offering.
The artificial intelligence market in the education sector is poised to grow by $374.3 mn during 2022-2026, accelerating at a CAGR of 48.15% during the forecast period. The report on the artificial intelligence market in the education sector provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis of the current country market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing demand for ITS.
The artificial intelligence market in the education sector analysis includes the end-user segment and geographic landscape.
The artificial intelligence market in the education sector is segmented as below:
By End-user
By Type
This study identifies the increased emphasis on chatbots as one of the prime reasons driving the artificial intelligence market in the education sector growth during the next few years. Also, growing emphasis on crowdsourced tutoring and increasing emphasis on content analytics will lead to sizable demand in the market.
The report on the artificial intelligence market in the education sector covers the following areas:
Key Topics Covered:
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Five Forces Analysis
5 Market Segmentation by End-user
6 Market Segmentation by Type
7 Customer Landscape
8 Drivers, Challenges, and Trends
9 Vendor Landscape
10 Vendor Analysis
11 Appendix
Companies Mentioned
For more information about this report visit https://www.researchandmarkets.com/r/jeorof
Artificial Intelligence (AI) Market in BFSI Sector to Record USD 32.97 Billion growth between 2021 and 2026; Major Opportunities with Alphabet Inc….
NEW YORK, Oct. 4, 2022 /PRNewswire/ -- The artificial intelligence (AI) market size in the BFSI sector is set to grow by $32.97 bn between 2021 and 2026, progressing at a CAGR of 36.68%. According to Technavio, the market is fragmented, and the degree of fragmentation will accelerate during the forecast period. As market growth over the next five years is expected to remain high, the competitive rivalry among market vendors will remain limited. To know more about the vendor landscape Read Sample PDF Report Before Purchasing.
Technavio has announced its latest market research report titled Global Artificial Intelligence (AI) Market in BFSI Sector 2022-2026
The report identifies Alphabet Inc., Amazon.com Inc., Amelia US LLC, Baidu Inc, Glia Technologies Inc, Inbenta Technologies Inc., Intel Corp., International Business Machines Corp., Lexalytics Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Palantir Technologies Inc., Salesforce Inc., ServiceNow Inc., Verint Systems Inc, ZestFinance Inc, and SAP SEare some of the major market participants. Although the Enhanced operational efficiency with AI will offer immense growth opportunities, the need for high data quality will challenge the growth of the market participants. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.
Artificial Intelligence (AI) Market in BFSI Sector 2022-2026: Segmentation
Artificial Intelligence (AI) Market in BFSI Sector is segmented as below:
The artificial intelligence (AI) market share growth in the BFSI sector by the banking segment will be significant during the forecast period. The use of cognitive technology, along with AI, helps banks to leverage digitalization and sustain competition with FinTech players. AI technologies are revolutionizing banking processes and the relationship between banks and customers. AI is expected to shape the future of the banking sector as it provides the power of advanced data analytics to fight against fraudulent transactions and improve compliance, all within seconds.
Story continues
48% of the market's growth will originate from North America during the forecast period. The early adoption and increasing investments in AI technologies by players such as IBM, Google, Microsoft, and AWS in the region will facilitate the artificial intelligence (AI) market growth inBFSI sector in North America over the forecast period. This market research report entails detailed information on the competitive intelligence, marketing gaps, and regional opportunities in store for vendors, which will assist in creating efficient business plans. Our artificial intelligence (ai) market in BFSI sector report covers the following areas:
Artificial Intelligence (AI) Market in BFSI Sector 2022-2026: Vendor Analysis
We provide a detailed analysis of around 25 vendors operating in the Artificial Intelligence (AI) Market in BFSI Sector, including some of the vendors such as vendors Backed with competitive intelligence and benchmarking, our research reports on the Artificial Intelligence (AI) Market in BFSI Sector are designed to provide entry support, customer profile and M&As as well as go-to-market strategy support.
Artificial Intelligence (AI) Market in BFSI Sector 2022-2026: Key Highlights
CAGR of the market during the forecast period 2022-2026
Detailed information on factors that will assist artificial intelligence (AI) market in BFSI sector growth during the next five years
Estimation of the artificial intelligence (AI) market in BFSI sector size and its contribution to the parent market
Predictions on upcoming trends and changes in consumer behavior
The growth of the artificial intelligence (AI) market in BFSI sector
Analysis of the market's competitive landscape and detailed information on vendors
Comprehensive details of factors that will challenge the growth of the artificial intelligence (AI) market in BFSI sector vendors.
Related Reports:
Artificial Intelligence (AI) Market In BFSI Sector Scope
Report Coverage
Details
Page number
120
Base year
2021
Forecast period
2022-2026
Growth momentum & CAGR
Accelerate at a CAGR of 36.68%
Market growth 2022-2026
$32.97 billion
Market structure
Fragmented
YoY growth (%)
33.99
Regional analysis
North America, APAC, Europe, Middle East and Africa, and South America
Performing market contribution
North America at 48%
Key consumer countries
US, Canada, China, Japan, and UK
Competitive landscape
Leading companies, competitive strategies, consumer engagement scope
Companies profiled
Alphabet Inc., Amazon.com Inc., Amelia US LLC, Baidu Inc, Glia Technologies Inc, Inbenta Technologies Inc., Intel Corp., International Business Machines Corp., Lexalytics Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Palantir Technologies Inc., Salesforce Inc., ServiceNow Inc., Verint Systems Inc, ZestFinance Inc, and SAP SE
Market Dynamics
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and future consumer dynamics, and market condition analysis for the forecast period.
Customization purview
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.
Table Of Contents :
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Five Forces Analysis
5 Market Segmentation by End-user
6 Customer Landscape
7 Geographic Landscape
8 Drivers, Challenges, and Trends
9 Vendor Landscape
10 Vendor Analysis
11 Appendix
About Us
Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.
Contact
Technavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email: media@technavio.comWebsite: http://www.technavio.com/
Global Artificial Intelligence (AI) Market in BFSI Sector 2022-2026
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Artificial Intelligence (AI) Market in BFSI Sector to Record USD 32.97 Billion growth between 2021 and 2026; Major Opportunities with Alphabet Inc....
The Worldwide Artificial Intelligence in Diabetes Management Industry is Expected to Reach $2.2 Billion by 2027 – ResearchAndMarkets.com – Business…
DUBLIN--(BUSINESS WIRE)--The "Global Artificial Intelligence in Diabetes Management Market (2022-2027) by Device, Technique, and Geography, with Competitive Analysis, Impact of COVID-19, and Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.
The Global Artificial Intelligence in Diabetes Management Market is estimated to be worth USD 590.32 million in 2022, and is expected to reach USD 2,235.15 million by 2027, growing at a CAGR of 30.51%.
Market dynamics are forces that impact the prices and behaviors of the stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors.
There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals. As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.
The Competitive Quadrant
The report includes the Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.
Ansoff Analysis
Why Buy This Report?
Market Dynamics
Drivers
Restraints
Opportunities
Challenges
Market Segmentation
The Global Artificial Intelligence in Diabetes Management Market is segmented based on Device, Technique, and Geography.
Companies Mentioned
For more information about this report visit https://www.researchandmarkets.com/r/33g9eg
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The Worldwide Artificial Intelligence in Diabetes Management Industry is Expected to Reach $2.2 Billion by 2027 - ResearchAndMarkets.com - Business...
Professor in Artificial Intelligence, School of AI and Advanced Computing job with XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) | 311575 – Times Higher…
School: School of AI and Advanced Computing, XJTLU Entrepreneur College(Taicang)
Position:Professor
Academic Discipline: Computer science, data science, artificial intelligence
Location:Taicang, Greater Suzhou, China
ABOUT XJTLU
In 2006 Xian Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xian Jiaotong University a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has over 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the Peoples Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses.
With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east.
For detailed information about the university, please visitwww.xjtlu.edu.cn.
ABOUT XJTLU ENTREPRENEUR COLLEGE (TAICANG)
In 2019, XJTLU launched Entrepreneur College, which was build and developed in collaboration with the Taicang Municipal Government and industry partners. In September 2022, XJTLU Entrepreneur College just moved to a new campus in Taicang, part of Greater Suzhou, which also won the WAN Awards for the campus design. The XJTLU Entrepreneur College are a pioneers of, and an educational model for, the future college in developing talents and leaders to meet local, national, and global challenges from the 4th Industrial Revolution. As a result, there are opportunities at all levels for innovative academics in the fields represented by the following schools and education platforms:
ABOUT THE SCHOOL OF AI AND ADVANCED COMPUTING
The School of AI and Advanced Computing is one of the 7 industry-themed Schools in the XJTLU Entrepreneur College (Taicang). Each School consists of an Education, Research and Development Institute (ERDI) for teaching and university-business research collaboration, a professional services centre supporting daily activities of students, staff, and business partners, and a School Affiliated Company jointly established by XJTLU and the Schools industry partner for practical on-the-job learning and teaching.
Industry Partner Overview
The current major partner in collaboration with XJTLU to co-develop the School of AI and Advanced Computing is SUGON.
Sugon is a leading enterprise in the field of high-performance computing, server, storage, cloud computing and big data in China. It is a national high-tech enterprise formed on the foundations of the significant scientific and technological achievements made under the National 863 Programme and with the strong support of the Chinese Academy of Sciences. More information please see https://www.sugon.com/en.
POSITION OVERVIEW
The candidate will be a senior member of staff in the School and will be responsible to the Dean for the effective management and administration of the Schools activities. Through their leadership, the candidate will ensure that the School meets its ambitious targets by creating an intellectually stimulating and vibrant environment in which its students and staff can flourish.
The broad dimensions of the post are to:
PERSONAL ATTRIBUTES
The candidate will be a senior member of staff in the School and will be responsible to the Dean for the effective management and administration of the Schools activities. Through their leadership, the candidate will ensure that the School meets its ambitious targets by creating an intellectually stimulating and vibrant environment in which its students and staff can flourish.
The broad dimensions of the post are to:
RESPONSIBILITIES
QUALIFIVATION/EXPERIENCES
Successful applicants to the position of Professor are expected to have:
CITIZENSHIP AND VISA REGULATIONS
Employment at Xian Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China.
CAREER DEVELOPMENT
COPENSATION & BENEFITS
SALARY: Competitive salary in the market
BENEFITS
HOW TO APPLY
Please submit your application on our university websitevia:
https://career15.sapsf.cn/career?career_company=xjtlu
Applications must be submitted in a single pdf file that includes 3 parts in the order of:
For specific enquiries relating to the position, pleasecontact Professor Angelos Stefanidis, Dean of School by email on Angelos.Stefanidis@xjtlu.edu.cn, or the HRBP Mingyu Yuan on mingyu.yuan@xjtlu.edu.cn.
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Professor in Artificial Intelligence, School of AI and Advanced Computing job with XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) | 311575 - Times Higher...
Master’s in Artificial Intelligence | Hopkins EP Online
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We have assembled a team of top-level researchers, scientists, and engineers to guide you through our rigorous online academic courses. Because we are a hub and frontrunner in artificial intelligence, we can tailor our artificial intelligence online masters content to include the most up-to-date practices and offer core courses that address the AI-driven technologies, techniques, and issues that power our modern world.
The online masters in Artificial Intelligence program balances theoretical concepts with the practical knowledge you can apply to real-world systems and processes. Courses deeply explore areas of AI, including robotics, natural language processing, image processing, and morefully online.
At the programs completion, you will:
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Master's in Artificial Intelligence | Hopkins EP Online
Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning Technologies for Medical Diagnostics – Government Accountability…
What GAO Found
Several machine learning (ML) technologies are available in the U.S. to assist with the diagnostic process. The resulting benefits include earlier detection of diseases; more consistent analysis of medical data; and increased access to care, particularly for underserved populations. GAO identified a variety of ML-based technologies for five selected diseases certain cancers, diabetic retinopathy, Alzheimers disease, heart disease, and COVID-19 with most technologies relying on data from imaging such as x-rays or magnetic resonance imaging (MRI). However, these ML technologies have generally not been widely adopted.
Academic, government, and private sector researchers are working to expand the capabilities of ML-based medical diagnostic technologies. In addition, GAO identified three broader emerging approachesautonomous, adaptive, and consumer-oriented ML-diagnosticsthat can be applied to diagnose a variety of diseases. These advances could enhance medical professionals capabilities and improve patient treatments but also have certain limitations. For example, adaptive technologies may improve accuracy by incorporating additional data to update themselves, but automatic incorporation of low-quality data may lead to inconsistent or poorer algorithmic performance.
Spectrum of adaptive algorithms
We identified several challenges affecting the development and adoption of ML in medical diagnostics:
These challenges affect various stakeholders including technology developers, medical providers, and patients, and may slow the development and adoption of these technologies.
GAO developed three policy options that could help address these challenges or enhance the benefits of ML diagnostic technologies. These policy options identify possible actions by policymakers, which include Congress, federal agencies, state and local governments, academic and research institutions, and industry. See below for a summary of the policy options and relevant opportunities and considerations.
Policy Options to Help Address Challenges or Enhance Benefits of ML Diagnostic Technologies
Evaluation (reportpage 28)
Policymakers could create incentives, guidance, or policies to encourage or require the evaluation of ML diagnostic technologies across a range of deployment conditions and demographics representative of the intended use.
This policy option could help address the challenge of demonstrating real world performance.
Data Access (reportpage 29)
Policymakers could develop or expand access to high-quality medical data to develop and test ML medical diagnostic technologies. Examples include standards for collecting and sharing data, creating data commons, or using incentives to encourage data sharing.
This policy option could help address the challenge of demonstrating real world performance.
Collaboration (reportpage 30)
Policymakers could promote collaboration among developers, providers, and regulators in the development and adoption of ML diagnostic technologies. For example, policymakers could convene multidisciplinary experts together in the design and development of these technologies through workshops and conferences.
This policy option could help address the challenges of meeting medical needs and addressing regulatory gaps.
Source: GAO. | GAO-22-104629
Diagnostic errors affect more than 12 million Americans each year, with aggregate costs likely in excess of $100 billion, according to a report by the Society to Improve Diagnosis in Medicine. ML, a subfield of artificial intelligence, has emerged as a powerful tool for solving complex problems in diverse domains, including medical diagnostics. However, challenges to the development and use of machine learning technologies in medical diagnostics raise technological, economic, and regulatory questions.
GAO was asked to conduct a technology assessment on the current and emerging uses of machine learning in medical diagnostics, as well as the challenges and policy implications of these technologies. This report discusses (1) currently available ML medical diagnostic technologies for five selected diseases, (2) emerging ML medical diagnostic technologies, (3) challenges affecting the development and adoption of ML technologies for medical diagnosis, and (4) policy options to help address these challenges.
GAO assessed available and emerging ML technologies; interviewed stakeholders from government, industry, and academia; convened a meeting of experts in collaboration with the National Academy of Medicine; and reviewed reports and scientific literature. GAO is identifying policy options in this report.
For more information, contact Karen L. Howard at (202) 512-6888 or howardk@gao.gov.
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Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning Technologies for Medical Diagnostics - Government Accountability...
Reasons behind the Limited Use of Artificial Intelligence in Latin American Media – CIOReview
Journalists are automating processes and using systems that mimic human behavior to design tasks related to news gathering, content creation, distribution, marketing, and subscriptions in Latin America.
FREMONT, CA: Artificial intelligence (AI) has stopped merely being a science fiction component and has become a reality in recent years. Automation of processes and the creation of systems that mimic human behavior have reached journalism and are being used to design tasks of news gathering, content creation, distribution, marketing, and subscriptions. Automating processes and creating systems that mimic human behavior have reached journalism.
The use of AI is currently somewhat limited, despite its enormous potential, and the region is ravenous for information regarding the subject.
Insufficient funds and a need for training
The organization needs AI training in addition to producing articles for publication in Latin American media.
Ironically, although there is a great deal of understanding of the potential benefits of AI systems in the media, very little or even nothing has been done at the organizational level to implement these systems.
There is an unmistakable desire present in newsrooms to implement AI. The majority of the newsrooms had not taken advantage of the chance to implement AI into their day-to-day operations, despite its availability. The typical reaction was either a lack of resources or an absence of a corporate vision to adopt AI technologies as an integral part of the organization's future. Both of these issues were cited as the reason for the failure.
Similarly, the request made by journalists was to obtain training and trade experiences with other forms of media. The region is willing to enter the field of AI, but it needs basic information about the currently available prospects.
User loyalty
It would appear that the holy grail of reader monetization is the application of algorithms to make sense of data. Many news organizations in Latin America are either actively investigating this topic or are eager to do so. Particularly in the case of television networks, which are not accustomed to working with this kind of instrument.
The media are utilizing machine learning and AI to gain a deeper understanding of specific consumer habits, user loyalty, and the integration of advertising campaigns.
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Reasons behind the Limited Use of Artificial Intelligence in Latin American Media - CIOReview