Facial analysis enabled by AI is helping researchers assess mental health in a more objective way, relying on algorithms that detect behavioral biomarkers rather than subjective exams alone, the Wall Street Journal reported April 1.

Physicians and scientists in Germany have developed an artificial neural network that’s capable of interpreting brain MRI scans to tell physicians how brain tumors are responding to chemotherapy and radiation therapy, according to a study published in The Lancet Oncology.

Artificial intelligence is more effective at detecting cervical cancer than established lab tests, according to a pilot study out of Seoul, South Korea.

Eye exams that leverage machine learning to track eye movement behavior are providing universities, research institutions and governmental agencies with more than a billion data points to better understand the connection between vision and neurological disease, according to health tech company RightEye.

Not-for-profit network Sutter Health and AI company Suki are partnering to deliver an AI-powered, voice-enabled digital assistant for doctors in Northern California.

Fourteen startups are getting a share of $117 million from Intel Capital, which is encouraging the recipients to spend the money on efforts to “disrupt their industries.” For two of the companies, the industry is healthcare and the disruptive innovation involves AI.

Combing social networks and pharmaceutical databases using heterogeneous network mining allowed a team from Drexel University to better identify therapies suitable for drug repositioning, according to work published in Artificial Intelligence in Medicine.

It’s been 33 years since the federal government began requiring hospitals to take in patients after stabilization in the ED if the case called for admission and the hospital had the clinical expertise to provide the extended care. Yet Medicaid patients and the uninsured still have higher odds of getting transferred than those with high-quality insurance plans.