Every day, across thousands of American hospitals, artificial intelligence quietly shapes decisions that determine patient ...
A qualitative study of the use of a clinical decision support tool in pediatric diarrhea identified the expectations of clinicians and the concerns of parents surrounding the tool’s use. “Clinical ...
Clinically enhanced predictive modeling for end-of-life care in colon cancer: Identifying opportunities to support clinical decision-making. This is an ASCO Meeting Abstract from the 2025 ASCO Quality ...
Studies show that AI increasingly matches or exceeds physicians on select diagnostic tasks, yet experts stress that clinical ...
Technology has changed a lot since I was a practicing pharmacist. While clinicians have always focused on using technology to improve patient safety, everything else about technology is constantly ...
Why do predictive tools fall out of use? Many instances of artificial intelligence-enabled CDS see declines following initial ...
Insights from healthcare providers at four age-friendly health systems underscore flexibility and value of using FAIR Health tools with older adults and family caregivers In March 2025, FAIR Health ...
Speakers at the European Respiratory Society Congress 2024 highlighted the potential of artificial intelligence (AI) in transforming respiratory health care, while also raising important ethical ...
Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today released its 2026 Future Health Index U.S. report, "AI in practice: Shaping the future of healthcare now," revealing ...
Artificial intelligence is rapidly transforming clinical medicine, with AI-powered tools increasingly being used for diagnostic imaging interpretation, clinical decision support, predictive analytics ...
Why human-AI collaboration is essential to scale behavioral health safely and effectively.
As health systems expand their artificial intelligence projects, tackling areas such as ambient charting and pharmacovigilance, cancer care is one area that's exposing data governance challenges that ...