In February and March 2020, the inevitable happened: COVID-19 came to the United States, hitting the country’s healthcare system like a 10-pound sledgehammer. 

A deep learning model has achieved human-level proficiency in three of five exercises, accurately categorizing verbal expressions from more than 33,000 talk-therapy patients who underwent their sessions online.

The Mayo Clinic’s flagship campus in Minnesota is installing an AI-powered patient triage and prediction platform.

People have been anticipating the demise of radiologists for years, speculating that AI will soon be interpreting imaging results with the precision of a seasoned veteran.

Despite the growing number of patients using such technology, only 21% are talking with their providers about how to correspond digitally, and it may be hindering more widespread adoption.

Testicular cancer has a high survival rate, but the chemotherapy typically used during treatment can induce nephrotoxicity.

Dwight I. Peretz, MD, had a long career in cardiology, but he also lived an unforgettable childhood, one that included delivering undercover messages in Japanese-occupied Shanghai.

Why does COVID-19 severely sicken some people and barely bother others who catch it? The C-suite at Johns Hopkins is hoping technology can help unravel this mystery.