Fox News Washington-based correspondent Mark Meredith has more on the future of the advanced technology as the many are skeptical of its safety measures on'Special Report.' Washington, D.C. – America's medical community appears to be embracing artificial intelligence products in an effort to speed up patient care and prevent burnout among health care professionals. AI technology is already rolling out in doctors' offices, hospitals and clinics nationwide through a variety of formats. California-based Regard has launched its AI product, a system that enables doctors to automate routine tasks, in 30 hospitals, its CEO said. ARTIFICIAL INTELLIGENCE WON'T EVER BE ABLE TO COMPREHEND THIS ONE THING "What we started developing was essentially an AI copilot for doctors," Eli Ben-Joseph, co-founder and CEO of Regard, told Fox News.

During his recent keynote address to the National Conservative Conference, Republican Sen. Josh Hawley of Missouri brought attention to the crisis of a marginalized and long-forgotten group: men. "Over the last 30 years and more, government policy has helped destroy the kind of economy that gave meaning to generations of men," he said, describing low wages and corporate consolidation brought on by globalization. The result, he said, is "more and more men are withdrawing into the enclaves of idleness, and pornography, and video games." Hawley's remarks were immediately met with derision, criticism, and exasperation: Here was another conversative--a presidential hopeful no less--hand-wringing over pornography, another traditionalist subscribing to outdated gender norms by saying "a man is a father, a man is a husband, a man is someone who takes responsibility," and another male politician cautioning that a supposed liberal attack on manhood was at the root of this rot. Here's the issue: Hawley is partially right.

Accurate prediction of healthcare costs is important for optimally managing health costs. However, methods leveraging the medical richness from data such as health insurance claims or electronic health records are missing. Here, we developed a deep neural network to predict future cost from health insurance claims records. We applied the deep network and a ridge regression model to a sample of 1.4 million German insurants to predict total one-year health care costs. Both methods were compared to Morbi-RSA models with various performance measures and were also used to predict patients with a change in costs and to identify relevant codes for this prediction. We showed that the neural network outperformed the ridge regression as well as all Morbi-RSA models for cost prediction. Further, the neural network was superior to ridge regression in predicting patients with cost change and identified more specific codes. In summary, we showed that our deep neural network can leverage the full complexity of the patient records and outperforms standard approaches. We suggest that the better performance is due to the ability to incorporate complex interactions in the model and that the model might also be used for predicting other health phenotypes.

Dr. Topol believes that A.I. can do more than enhance diagnoses and treatments. It can also save doctors from doing tasks like taking notes and reading scans, allowing them to spend more time connecting with their patients. Recently, we caught up with Dr. Topol to discuss his thoughts on where A.I. has the most potential to improve health care, where it might stumble, and how it could protect doctors from things like burnout and depression. Here are edited excerpts from our interview. Q. Can A.I. help to lower America's soaring health care costs?

Q. Can A.I. help to lower America's soaring health care costs? The No. 1 line item of health care cost in America is human resources, which has recently grown -- as of December 2017 towering over retail -- to be the leading job source for our economy. By augmenting human performance, A.I. has the potential to markedly improve productivity, efficiency, work flow, accuracy and speed, both for doctors and for patients. Q. Can you talk about the area of medicine where A.I. shows the most promise? A. There are a few key areas. One is machine pattern recognition to promote the rapid and accurate reading of medical scans, slides, skin lesions, the pickup of small polyps during colonoscopy, and much more.

President Trump delivered his third address for the first time in front of a divided Congress. Here are the best moments. After the longest and most controversial government shutdown in history, President Trump used his State of the Union address Tuesday to focus the nation on policies which can unite rather than divide us. The president laid out a five-pillar strategy which included issues critical to the growth of the technology industry and the health of our overall economy: immigration reform, investments in technology and infrastructure, and curbing health care costs. Specifically, he called for a "safe, lawful, modern and secure" immigration system.

This story was co-published with NPR. But dig deeper and the implications of what they're selling might give many patients pause: A future in which everything you do -- the things you buy, the food you eat, the time you spend watching TV -- may help determine how much you pay for health insurance. With little public scrutiny, the health insurance industry has joined forces with data brokers to vacuum up personal details about hundreds of millions of Americans, including, odds are, many readers of this story. The companies are tracking your race, education level, TV habits, marital status, net worth. Then they feed this information into complicated computer algorithms that spit out predictions about how much your health care could cost them. Are you a woman who recently changed your name? You could be newly married and have a pricey pregnancy pending. Or maybe you're stressed and anxious from a recent divorce.

Insurers and data brokers are predicting your health costs based on data about things like race, marital status, how much TV you watch, whether you pay your bills on time or even buy plus-size clothing.Scanrail/Getty Images This story was originally co-published by ProPublica and NPR. But dig deeper and the implications of what they're selling might give many patients pause: A future in which everything you do--the things you buy, the food you eat, the time you spend watching TV--may help determine how much you pay for health insurance. With little public scrutiny, the health insurance industry has joined forces with data brokers to vacuum up personal details about hundreds of millions of Americans, including, odds are, many readers of this story. The companies are tracking your race, education level, TV habits, marital status, net worth. Then they feed this information into complicated computer algorithms that spit out predictions about how much your health care could cost them. Are you a woman who recently changed your name? You could be newly married and have a pricey pregnancy pending. Or maybe you're stressed and anxious from a recent divorce.

But dig deeper and the implications of what they're selling might give many patients pause: A future in which everything you do -- the things you buy, the food you eat, the time you spend watching TV -- may help determine how much you pay for health insurance. With little public scrutiny, the health insurance industry has joined forces with data brokers to vacuum up personal details about hundreds of millions of Americans, including, odds are, many readers of this story. The companies are tracking your race, education level, TV habits, marital status, net worth. Then they feed this information into complicated computer algorithms that spit out predictions about how much your health care could cost them. Are you a woman who recently changed your name? You could be newly married and have a pricey pregnancy pending. Or maybe you're stressed and anxious from a recent divorce. That, too, the computer models predict, may run up your medical bills.

Eliezer Yudkowsky, a leading proponent of "friendly" artificial intelligence, offers a cautionary observation about the potential of AI --solving tasks that usually require human intelligence. "The greatest danger of Artificial Intelligence," he writes, "is that people conclude too early that they understand it." Any serious discussion of AI's impact on the aging population must start with Yudkowsky's implied question: Do we understand it? And if we do, how do we harness it to enhance the lives of our burgeoning population of older adults? The potential exists for AI to provide lower health care costs, better transportation and longer employment.