A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Dr. Michael Spaeder of the University of Virginia previews his upcoming HIMSS26 talk on using AI and machine learning to detect potentially catastrophic health events.

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Forbes contributors publish independent expert analyses and insights. Sai writes about healthcare, innovation and technology. The potential number of use-cases for AI in healthcare settings seems to ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Recovering from surgery is a critical period that requires careful monitoring and management. Traditionally, patients had to stay in hospitals for extended periods or frequently visit healthcare ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

The global patient monitoring device market size was US$ 21.1 billion in 2020. The global patient monitoring device market is forecast to grow to US$ 41.5 billion by 2030, registering a compound ...

For patients with rheumatoid arthritis, going to the doctor to discuss any ongoing symptoms or problems can be a hardship, especially if rheumatologists are scarce in their area. A mobile app under ...