Researchers have developed an algorithm to help assess the response of Parkinson’s patients to medication while clinicians are at work and the patients are typing on personal computers in their homes.

Global 3D printing company Materialise on June 13 announced its Mimics Enlight cardiovascular planning software suite received FDA clearance and will soon be rolled out to clinicians.

Researchers have demonstrated two machine learning techniques that, when combined to analyze social-media posts, can boost early detection of clinical depression by 10% over the current state of the art.

Kaiser Permanente, the Oakland, California-based health system, is building a new headquarters in the same city. The new headquarters, which is called Kaiser Permanente Thrive Center and will accommodate 7,200 national and Northern California Region employees and physicians, comes with a price tag of about $900 million, according to the San Francisco Chronicle.

The diagnosis and treatment of a gut disease that can cause permanent damage in children can be sped up by the application of machine learning, according to researchers from the University of Virginia schools of Engineering and Medicine.

Radiology is the medical specialty most conducive to clinical AI applications. After all, the pre-AI technique of computer-aided detection has been used in mammography since 1998, for example. So it shouldn’t come as a surprise to find AI “app stores” rising in radiology.

An eight-day trial and two-hour jury deliberation has culminated in the conviction of Pennsylvania cardiologist Samirkumar J. Shah, who on June 14 was found guilty of two counts of healthcare fraud for falsely billing insurers for unnecessary angina treatments.

Deep learning could help catch drug dealers who use social media to connect with customers, according to a study conducted at UC-San Diego and published June 14 in the Journal of Medical Internet Research.