Vice President Kamala Harris will meet with the CEOs of leading technology companies to discuss the future of artificial intelligence and its possible risks.

As the Biden administration prepares to roll out a set of initiatives to ensure the rapidly evolving technology improves lives without jeopardizing peoples rights and safety, Harris will discuss the risks they see in current AI development with the leaders of Alphabet, Anthropic, Microsoft, and OpenAI.

The administration is also preparing to invest up to $140 million to establish seven new AI research institutes, according to The Associated Press.

The announcement comes as stories about the dangers of artificial intelligence mount. Earlier this week, the New York Times profiled Geoffrey Hinton, renowned researcher and the godfather of AI, who expressed fears about how quickly the technology is advancing and how little regulations exist to keep track of developments.

I think if you take the existential risk seriously, as I now doI used to think it was way off, but I now think its serious and fairly closeit might be quite sensible to just stop developing these things any further, said Hinton, who left Google to speak more freely about his fears. But I think its completely naive to think that would happen.

According to Hinton, tech companies have instead joined the race to create AI technology that will continue to advance past the knowledge available to control it.

PresidentJoe Biden noted that AI can help to address disease and climate change but also could harm national security and disrupt the economy in destabilizing ways, according to the Associated Prss. Because AI can generate human-like writing and fake images, the ethical and societal ramifications concern many.

The government leaders message to AI companies is they have a role to play in reducing the risks and that they can work with the government to do so.

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Vice President Harris To Meet With CEOs About Artificial Intelligence ... - Black Enterprise

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October raises awareness for Breast Cancer and LiveNOW from FOX talks with a doctor about the advances in treatments and importance of early detection.

BOCA RATON, Fla. - Some doctors believe artificial intelligence is saving lives after a major advancement in breast cancer screenings. In some cases, AI is detecting early signs of the disease years before the tumor would be visible on a traditional scan.

The Christine E. Lynn Women's Health and Wellness Institute at the Boca Raton Regional Hospital found a 23% increase in cancer cases since implementing AI during breast cancer screenings.

Dr. Kathy Schilling, the medical director at the institute, told Fox News Digital the practice has nine dedicated breast radiologists who are all fellowship trained, so the increase in early detections was surprising.

"All we do is read breast imaging studies, and so I thought, you know, we were probably pretty good at what we were doing, but this study really comes in shows us that even the dedicated and committed breast radiologists can do better utilizing artificial intelligence," Schilling said.

CHAT GPT ANSWERED 25 BREAST CANCER SCREENING QUESTIONS , BUT 'IT'S NOT READY FOR THE REAL WORLD'-HERE'S WHY

"ProFound AI," created by iCad, is designed to flag problem areas on mammograms. The program studied millions of breast cancer scans and, over time, learned to circle lesions and estimate the cancer risk.

"If you realize that 90% of the cases are benign and have no findings, you know, you just become fatigued. You get mesmerized by scrolling through the images. The AI helps us to refocus and find those little tiny cancers that we're looking for," Schilling said.

Medical personnel use a mammogram to examine a woman's breast for breast cancer. Photo: Hannibal Hanschke/dpa (Photo by Michael Hanschke/picture alliance via Getty Images)

ProFound AI became the first technology of its kind to be FDA cleared in December 2018. The Christine E. Lynn Women's Health and Wellness Institute adopted the groundbreaking technology during the COVID-19 pandemic, and the hospital now boasts one of the earliest studies on AI's impact on cancer.

"What I think we're going to be finding is that we're finding cancers when they're three to six millimeters in size, and finding the invasive lobular cancers which are very difficult for us to find, because they don't form masses in the breast," Schilling said.

Schilling also stated that over the past two years, the institute has offered less severe therapies to patients diagnosed with breast cancer because the cells are so small.

"We are doing smaller lumpectomies, fewer mastectomies, less chemotherapy, less radiation therapy," she continued. "I think we're entering into a whole new era in breast care."

ARTIFICIAL INTELLIGENCE IN HEALTH CARE: NEW PRODUCT ACTS AS COPILOT FOR DOCTORS'

Schilling also believes AI's early detection capabilities may have helped save Luz Torres' life after a routine mammogram on April 1 revealed a small cancerous tumor. Torres said she had no symptoms or inclination that something could be wrong.

"I have very dense breast tissue, so I always have a mammography and an ultrasound. The recommendation of that visit was the breast biopsy, so I had that done within a week's time, and then I got a phone call that the pathology was breast cancer," Torres said in an emotional interview. "It was an early detection. I come every year, I'm on track with my mammography, so it's very small tumor."

RELATED: New FDA rule requires info on breast density with all mammograms

Torres was diagnosed with stage 1 breast cancer in early April and recently completed surgery. Fortunately, she is expected to make a full recovery after early detection.

"It looks good. Because it was called early stage 1, I won't need chemotherapy so very happy about that," said Torres, who described the institute as "amazing."

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Dr. Ko Un Park, a surgical oncologist at OSUs Comprehensive Cancer Center, discusses the signs of inflammatory breast cancer, treatment, and other things to know about the rare, yet deadly form of the disease.

"The desire to improve the technology for the patients to find this breast cancer in patients early when it's treatable, and the prognosis ends up being great. I'm fortunate enough to be one of those patients. It's a blessing," she concluded.

Several companies have released AI products with the ability to flag abnormalities during cancer screenings. Doctors are also using AI to detect brain cancer, lung cancer and prostate cancer.

Find more updates on this story at FOXNews.com.

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Artificial intelligence helping detect early signs of breast cancer in some US hospitals - FOX 5 Atlanta

A whole new thing to worry about has just arrived. It joins a list of existential concerns for the future, along with global warming, the wobbling of democracy, the relationship with China, the national debt, the supply chain crisis, and the wreckage in the schools.

Artificial intelligence, known as AI, has had pride of place on the worry list for several weeks. Its arrival was trumpeted for a long time, including by the government and by techies across the board. But it took ChatGPT, an AI chatbot developed by OpenAI, for the hair on the back of the national neck to rise.

Now we know the race into the unknown is speeding up. The tech biggies, like Google and Facebook, are trying to catch the lead claimed by Microsoft. They are rushing headlong into a science the experts say they only partially understand. They really dont know how these complex systems work; maybe like a book that the author cannot read after having written it.

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Incalculable acres of newsprint and untold decibels of broadcasting have been raising the alarm ever since a ChatGPT test told a New York Times reporter that it was in love with him and he should leave his wife. Guffaws all around, but also fear and doubt about the future.

Will this Frankenstein creature turn on us? Maybe it loves just one person, hates the rest of us, and plans to do something about it.

In an interview on the PBS television program White House Chronicle, John Savage, An Wang professor emeritus of computer science at Brown University, told me there was a danger of over-reliance, and hence mistakes, on decisions made using AI.

For example, he said, some Stanford students partly covered a stop sign with black and white pieces of tape. AI misread the sign as signaling it was OK to travel 45 miles an hour. Similarly, Savage said the slightest calibration error in a medical operation using artificial intelligence could result in a fatality.

Savage believes AI needs to be regulated and that any information generated by AI needs verification. As a journalist, it is the latter that alarms.

Already, AI is writing fake music almost undetectably. There is a real possibility that it can write legal briefs. So why not usurp journalism for ulterior purposes and put stiffs like me out of work?

AI images can already be made to speak and look like the humans they are aping. How will you recognize a deep fake from the real thing? Probably, you wont.

Currently, we are struggling with what is fact and where is the truth. There is so much disinformation, so speedily dispersed that some journalists are in a state of shell shock, particularly in Eastern Europe, where legitimate writers and broadcasters are assaulted daily with disinformation from Russia.

How can we tell what is true? a reporter in Vilnius, Lithuania, asked me during an Association of European Journalists meeting as the Russian disinformation campaign was revving up before the Russian invasion of Ukraine.

Well, that is going to get a lot harder. You need to know the provenance of information and images before they are published, Brown Universitys Savage said.

But how? In a newsroom on deadline, we have to trust the information we have. One wonders to what extent malicious users of the new technology will infiltrate research materials or, later, the content of encyclopedias. Or, are the tools of verification themselves trustworthy?

Obviously, there will be upsides to thinking-machines scouring the internet for information on which to make decisions. I think of handling nuclear waste; disarming old weapons; simulating the battlefield; incorporating historical knowledge; and seeking new products and materials. Medical research will accelerate, one assumes.

However, privacy may be a thing of the past it almost certainly will be.

Just consider that attractive person you saw at the supermarket but were unsure what would happen if you initiated a conversation. Snap a picture on your camera, and in no time AI will tell you who the stranger is, whether the person might want to know you and, if that should be your interest, whether the person is married, in a relationship or just waiting to meet someone like you. Or whether he or she is a spy for a hostile government.

AI might save us from ourselves. But we should ask how badly we need saving and be prepared to ignore the answer. Damn it, we are human.

Llewellyn King is executive producer and host of White House Chronicle on PBS. His email is llewellynking1@gmail.com and you can follow him on Twitter @LlewellynKing2. He wrote this for InsideSources.com.

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Artificial Intelligence is here friend, foe or both? - Citrus County Chronicle

AI is becoming more and more popular. As we are employing it in our daily lives, large hospitals are using it in their daily operations. The development of artificial intelligence in healthcare sector is seeing many innovations to make it easily accessible for both patients and doctors.

AI in healthcare can easily gather all of the information during the diagnostic process. When combined with technology like big data analytics, telehealth services, and remote monitoring services, this data can be used to better understand the diseases in question and develop more effective treatment plans.

Additionally, patients lives will be made easier. A digital record will be available to doctors. They will have one. By doing so, people are able to receive medical advice while relaxing at home. Those doctors who have access to the records can decide to modify them. Therefore, they can do it without difficulty. The security of peoples personal data will also be provided.

Artificial intelligence in healthcare has more advantages than the conventional methods. Lets take a look at a few of them:

Doctors are prone to making mistakes, because of their demanding jobs, They must always use extreme caution and pay close attention to each patients needs. This causes the patients activity levels to decline and can occasionally be fatal. As a result, AI aids them by finishing some of the challenging jobs like data organization, inspection, etc. The doctors will be able to work more efficiently and without getting exhausted.

There are many occasions when a patient needs to have surgery or receive medication immediately. AI technology will show to be life-saving in certain situations. Whereas doctors must review the patients prior data, AI can quickly assess the records and make immediate action suggestions. This will take less time and improve the effectiveness of your decision-making.

Virtual health assistants are a great asset for both patients and doctors. For the doctors, it may analyze data and provide recommendations. Additionally, it can assist patients by advising them on diets, sending their health information to their doctors, and reminding them to take their medications.

AI now handles numerous duties that doctors once had to perform. This helps save time. Due to this, the process of treating patients is now more time-effective and efficient. The results of tests like MRIs, CT scans, ultrasounds, etc. can be provided by AI. This shortens the time it takes to do the test and delivers the results right away. In this way, patients wont have to wait. Now, they can obtain test results quickly instead of having to wait weeks.

Along with automating diagnosis, artificial intelligence (AI) in healthcare can also help with disease prevention. It can project the spread of diseases at the macro level. It assess the likelihood that a condition would be transmitted by an individual. This can encourage improved health outcomes and assist healthcare professionals with duties like planning and logistics.

With the help of AI in healthcare, you wont have to rush to the hospital to show the doctors your medical records. This helps in cutting costs. Personal assistants powered by artificial intelligence can advise patients on health-related issues. As a result, they will reduce the expense of going to a clinic or hospital. They can even connect patients with doctors directly for guidance.

AI has also been incorporated into wearable medical device. This will improve the patient care. Software like FitBits and wearables employ AI to analyze data and inform consumers and their healthcare providers about potential health concerns and issues. Technology-enabled self-assessment of ones health reduces the effort placed on experts and helps avoid unnecessary hospitalizations or remissions. Healthcare apps, developed by professional healthcare app development services, can also connect with these devices to provide better access to doctors for patients data.

You might occasionally ponder whether robots will ever replace nurses. The shanswer raises a number of difficult questions. In fact, nurses life can be improved by robots.

The nursing tasks that the Robots are designed to perform include taking vital signs. They assist with ambulation, giving medication, and learning infection control procedures. The traditional role played by nurses may change as a result of all these benefits becoming a reality and robots gradually integrating into healthcare environments.

According to research, eight to sixteen percent of the time nurses spend at performing tasks that arent genuinely nursing-related. Another team member can perform these tasks. Robots can assisting nurses by following them around. This way, the nurses will have more time to devote to caring for their patients.

If we look at a robot that could compete on a human level, Sophia is the best example of how far technology has come. Sophia is a well-known social robot. It is designed to act as a companion to senior citizens. This robot serves as a metaphor for the potential that technology has to improve how human-like robots can function.

Do you wonder about the future of artificial intelligence in the healthcare sector? Artificial intelligence (AI) is revolutionizing all aspects of human interaction, and information consumption, including the way we buy goods and services.

Artificial intelligence in healthcare is altering how clinicians practice medicine. It is changing how patients are treated and how the pharmaceutical sector functions in the field of health care. Lets look at the few trends that will shape the AIs future.

As a result, we may conclude that artificial intelligence is making every effort to advance the healthcare industry. Artificial Intelligence in healthcare is supporting physicians, nurses, and even patients with their health and promoting a quicker recovery. AIs developed and more reliable diagnosis will aid patients in lowering costs. AI gives doctors more time to focus less on administrative tasks and more on comprehending and caring for patients.

Simply said, AIs goal is to increase the efficiency with which computers can comprehend challenging healthcare issues. As a result, we will see more improvement in the healthcare industry over the next few days thanks to artificial intelligence.

Hello, I'm Srushti Tete, an Enthusiastic Digital Marketer. I am a Digital Marketing Executive and Strategic Partner at Futurionic with over 3+ years of experience in this field. I am passionate about leveraging the right strategic partnerships and software to scale digital growth.

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What is The Role of Artificial Intelligence in Healthcare? - ReadWrite

Alvin Liu, MD, sat down with Sheryl Stevenson, Group Editorial Director,Ophthalmology Times, to discuss his presentation on deep learning and 3D OCT at the ASCRS annual meeting in San Diego.

Editors note:This transcript has been edited for clarity.

We're joined with Dr. Alvin Liu, who's going to be presenting at this year's ASCRS. Welcome to you. Tell us a little bit more about your presentation regarding deep learning and 3D OCT.

Sheryl, thank you so much for having me speak today. I'm happy to share results. So let me introduce myself a little bit more. My name is Alvin Liu. I'm a retina specialist at the Wilmer Eye Institute at Johns Hopkins University.

My research focuses on the artificial intelligence application to ophthalmology. And specifically, I'm also the director of the Wilmer Precision Ophthalmology Center of Excellence. So the work that I will be presenting at the ASCRS this year, is directly related to our center of excellence.

The overall premise is that we know macular degeneration is a leading cause of central vision loss in the elderly in the US and around the world. Specifically, most patients with AMD lose vision because of the wet form of AMD. Specifically for wet AMD we know that earlier, timely treatment with better presenting visual acuity predicts better final visual acuity. So it is imperative for us to figure out which patients are at a high risk of imminent conversion to wet AMD.

Currently there are ways for us to provide an average estimate of conversion or progression to advanced AMD using ERAS criteria. However, the ERAS criteria can only provide an average risk estimate for over five years. The model we have developed can be used as a tool that can provide information in a more reasonable or more meaningful timeframe, which is six months. We start out by asking ourselves, can we use deep learning, which is the cutting edge artificial intelligence technique for medical image analysis. Can we use deep learning to analyze OCT images to predict imminent conversion from dry to wet AMD within six months.

To do that, we collected a dataset of over 2500 patients with AMD and over 30,000 OCT images. We train a model that is able to produce robust prediction for when an eye is at a high risk of converting to wet AMD within six months using an OCT image alone. In addition, we ran different experiments, trying to see what if we also feed this model additional information in the form of how many obtainable clinical variables, such as the patient's age, sex, visual acuity, or fellow eye status, and we were able to demonstrate that in the prediction of imminent conversion to wet AMD. In the first eye of patients, meaning these are patients who had never converted to wet AMD in either eye, this additional tabular clinical information was also helpful.

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ASCRS 2023: Artificial intelligence application to ophthalmology - Ophthalmology Times