Innovation

Though it may seem counterintuitive, automating tasks and outsourcing responsibilities to algorithms and other forms of artificial intelligence will actually humanize medicine, according to Eric Topol, MD, director of the Scripps Research Translational Institute in La Jolla, Calif.

Health[at]Scale, a San Jose, Calif.-based startup developing machine learning solutions for precision medicine, has raised $16 million in a Series A funding round, with UnitedHealth Group's Optum as the sole investor, TechCrunch reports.

Since the beginning of the month, the FDA has granted several artificial intelligence-powered health IT products "Breakthrough Device" status, which does not indicate safety approval, but designates a product as potentially life-saving and fast-tracks its development, testing and approval process.

An artificial intelligence-powered diagnosis system was able to identify tears in the anterior cruciate ligament from MRI scans with sensitivity and specificity comparable to that of a team of clinical radiologists, according to a new study in Radiology: Artificial Intelligence.

A new artificial intelligence-powered technology that alerts a medical team upon detecting signs of a collapsed lung in chest X-rays has received FDA clearance, Israeli imaging analytics company Zebra Medical Vision announced on May 13.

A new study shows that artificial intelligence can be used to predict patients' risk of developing a potentially lethal arrhythmia after experiencing heart failure.

A retinal imaging platform that uses artificial intelligence to evaluate eye scans for biomarkers of Alzheimer's disease and other neurological disorders has received the FDA's "Breakthrough Device" designation, Canadian startup Optina Diagnostics announced this week.

Aligning lower cost, improved outcomes, a better patient experience, and improved provider satisfaction are the focus of Hospitals today. This summit provided Hospital Executives key insights into the future of Robotic Assisted Surgery and the content shared demonstrated the ability…

A deep learning model trained in mammography is able to predict the development of breast cancer up to five years in advance, according to a study published in Radiology on May 7.

IBM Watson Health Imaging's Patient Synopsis went live at Hardin Memorial Health in Elizabethtown, Ky., on May 6, making the health system the first to implement the artificial intelligence-powered software.