Comcast is venturing into the health business with a new technology that aims to monitor people’s health at home, CNBC reported. The device has been likened to Amazon’s AI-powered voice technology Alexa.

French researchers are designing an AI-based system to show diabetic patients their overall glycemic state in a readily understandable graphic display.

An AI-enabled health insights company, Cardinal Analytx Solutions, has raised $22 million in a series B funding round.

Physicians considering new technology for their practices tend to ask one or more of four questions before moving ahead: Does it actually work? Will I get paid for it? What are the liability issues? And will it work in my practice environment?

AI is becoming more accessible to researchers of any age after The Penn Medicine Institute for Biomedical Informatics launched a free, open-source automated machine learning system for anyone to use, Penn AI.

Facebook researchers are working to see how well and how quickly robots can teach themselves to walk, feel their way around tricky spaces and otherwise try new robot-y things through AI-driven trial and error.

Deep learning can help diagnose skin cancer with high accuracy even when it has only low-tech dermoscopic images to work with, according to research conducted in Israel and published in The Lancet’s online journal eBioMedicine.

An AI algorithm created by Google can predict lung cancer with high accuracy and improve the survival chances of those with the cancer through earlier diagnosis, according to a recent study. The findings were published in Nature Medicine on May 20.

People who struggle to get a good night’s sleep and seek medical help for the problem are producing mega data on things like eye movement, breathing, brain activity and restless legs. Which is to say sleep medicine is as ripe as any field in healthcare for help from AI.

A Colorado teenager has won $75,000 for his machine learning and computer vision project that helps orthopedic surgeons improve the accuracy of screw placement during spinal surgery.

Contrary to common understanding, sepsis is not a one-size-afflicts-all condition. It’s a set of many, and each can be placed into one of four key subcategories—i.e., phenotypes—such that, going forward, stricken patients could receive tailored treatments.

A natural language processing algorithm has achieved 90% precision in automatically spotting signs of social isolation in cancer patients by “reading” clinical notes in a hospital’s electronic health record.