Neural network ChatGPT almost passed the mandatory medical exam, shows the research, published in the prestigious peer-reviewed scientific journal PLOS Digital Health. AI neural network ChatGPT has almost passed the USMLE medical licensing exam used to test the knowledge and skills of physicians and medical students in the United States. It is considered to be an extraordinarily difficult test, usually requiring up to 400 hours of preparation. The research was published in the prestigious peer-reviewed scientific journal PLOS Digital Health.The researchers indicated that ChatGPT passed the medical exam without specialized training. This means that the neural network was not trained on special medical papers, but simply used the information available on the internet.

One of the most frequently-used phrases at business events these days is "the future of work." It's increasingly clear that artificial intelligence and other new technologies will bring substantial changes in work tasks and business processes. But while these changes are predicted for the future, they're already present in many organizations for many different jobs. The situation brings to mind the William Gibson comment, "The future is already here--it's just not evenly distributed." The job and incumbent described below is an example of this phenomenon.

On Wednesday night, doctors at London's Royal College of Physicians were subjected to the world's first demonstration of an artificial intelligence (AI) robot performing a clinical test. The point of the event was to show how well the chatbot, engineered by digital medicare startup Babylon Health, would perform at the MRCGP exam, the Royal College of General Practitioners final test for trainee doctors. In the last five years, general practitioners have averaged a 72% score at the exam, declared director at Babylon Health Dr. Mobasher Butt before announcing to the audience his bot's score. "It got 82%," said the medical expert as people began to clap. "Tonight's results clearly illustrate how AI-augmented health services can reduce the burden on healthcare systems around the world. Our mission is to put accessible and affordable health services into the hands of every person on Earth," said Dr Ali Parsa, Babylon Health's founder and CEO, in a statement posted after the event.

Claims that a chatbot can diagnose medical conditions as accurately as a GP have sparked a row between the software's creators and UK doctors. Babylon, the company behind the NHS GP at Hand app, says its follow-up software achieves medical exam scores that are on-par with human doctors. It revealed the artificial intelligence bot at an event held at the Royal College of Physicians. But another medical professional body said it doubted the AI's abilities. "No app or algorithm will be able to do what a GP does," said the Royal College of General Practitioners.

In the study, Arnaout and her colleagues used deep learning, specifically something called a convolutional neural network, to train an AI system that can classify echocardiograms according to the type of view shown. This classification is a cardiologist's first step when examining an image of the heart.

Rima Arnaout wants to be clear: The AI she created to analyze heart scans, which easily outperformed human experts on its task, is not ready to replace cardiologists. It was a limited task, she notes, just the first step in what a cardiologist does when evaluating an echocardiogram (the image produced by bouncing sound waves off the heart). "The best technique is still inside the head of the trained echocardiographer," she says. But with experimental artificial intelligence systems making such rapid progress in the medical realm, particularly on tasks involving medical images, Arnaout does see the potential for big changes in her profession. And when her 10-year-old cousin expressed the desire to be a radiologist when she grows up, Arnaout had some clear advice: "I told her that she should learn to code," she says with a laugh.

Fidelio Desbradel and his wife, Leonor Desbradel, of the Dominican Republic, take a selfie in front of a Tulip Magnolia tree in Washington. A selfie reveals more than whether it's a good hair day. A company has developed facial analytics technology to help estimate life expectancy by analyzing your face from a photo you upload online. Life insurance companies are interested in the product because it may help them reduce your wait for coverage and boost their sales. A selfie reveals more than whether it's a good hair day.

A selfie reveals more than whether it's a good hair day. Facial lines and contours, droops and dark spots could indicate how well you're ageing, and, when paired with other data, could someday help determine whether you qualify for life insurance. This new technology would enable people to buy life insurance online in as little as 10 minutes without taking a life insurance medical exam. The facial analytics technology would scan hundreds of points on your face and extract certain information, including your body mass index, physiological age (in layman's terms, how old you look) and whether you're aging faster or slower than your actual age. The insurer would combine the results with your application answers and, if it chooses, any other information it typically pulls.