Along with AI in its various iterations, the list may include virtual and augmented reality, 3D printing, robotics and other technologies currently changing healthcare delivery.

The model’s consistent overall accuracy demonstrates the reusability of existing COVID algorithms with recalibrations rather than fallbacks to square one, AI developers suggest.

When assisted by an AI tool designed to organize and display digitized patient referral records, gastroenterologists cut their time to answer relevant clinical questions by 2.3 minutes.

Researchers in Denmark and the U.S. have used deep neural networks to develop complementing models for predicting complications likely to arise in patients who’ve had surgeries of all kinds. 

Beginning around 2031, autonomous virtual assistants will deliver precision preventive medicine while networked provider orgs offer closely connected care via single, shared digital infrastructures.

Going on a year and a half since its debut as a COVID symptom checker, one virtual health assistant is now trained on 17 million patient interactions. 

Psychology researchers have used machine learning to wring useful two-year dementia trajectory predictions from more than 500 potentially contributing risk factors.

Various iterations of AI “hold tremendous promise” to help personalize counseling for individuals grieving the loss of a loved one.