Despite years of progress, trust remains one of the biggest barriers to AI adoption in healthcare. Patient privacy is their ...

AI arrived in healthcare with big promises. It would ease physician workloads, speed decisions in emergencies, and cut ...

Luffu uses AI in the background to gather and organize family information, learn day-to-day patterns, and flag notable ...

As organizations leverage new AI systems, they need to prioritize two of the most important building blocks of trust: effective training and clear communication.

Overview: AI now supports doctors across diagnosis, triage, and operations in hospitals and clinics.From cancer screening to ECG analysis, AI improves accuracy ...

Dr. Sigal Shafran Tikva of Jerusalem College of Technology, previews her upcoming HIMSS26 talk on making nurses essential ...

Epic, Oracle and Humana have all announced new integrated capabilities. Meanwhile, Corti says through its new infrastructure ...

The role of nursing informatics is evolving as artificial intelligence-powered tools become a regular feature in healthcare.

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...

The discussion, moderated by Mr Suresh Vijayaraghavan, CTO, The Hindu, themed “Navigating AI investment and scalability: ...

AI is rapidly transforming hospital medicine by supporting clinical workflows, enhancing decision-making, and reducing ...

Moving beyond administrative automation, aiomics is now being used to transform the discharge letter—traditionally a ...