Most AI medical devices cleared for use were not tested on patient outcomes
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 3-Nov-2026 10:16 ET (3-Nov-2026 15:16 GMT/UTC)
A new analysis shows that, of 1,357 artificial intelligence (AI)-based medical devices authorized by the U.S. Food and Drug Administration (FDA) for use in patient care, only three had been tested on whether they actually improve patients’ health. Rawan Abulibdeh of the University of Toronto, Canada, and colleagues present these findings in the open access journal PLOS Digital Health on August 19, 2026.
Researchers from IIT Gandhinagar (IITGN) and IIT Banaras Hindu University (IIT BHU) proposed the GenR framework, which efficiently recovers lost or damaged details in photographs. Another study by IITGN in collaboration with Adobe Research (India) discussed a new approach that can turn text descriptions into videos while keeping objects, their relationships, and actions consistent across frames. These studies highlight AI’s potential to both improve images we already have and create visual representations from information that may only be a memory.
Large language models (LLMs), including the models behind ChatGPT and Claude as well as numerous other systems developed specifically for medical applications, are increasingly used in clinical workflows. They support medical documentation, summarize knowledge, and assist with clinical decision-making. However, their adoption is outpacing the development of systems for oversight and safety. An interdisciplinary team of researchers at the Else Kröner Fresenius Center (EKFZ) for Digital Health at TUD Dresden University of Technology and University Hospital Dresden, together with national and international colleagues, has systematically analyzed the risks associated with LLM use in medicine. The review, published in Nature, brings together evidence from medical AI, cybersecurity, regulatory science, ethics and behavioral psychology and outlines strategies for trustworthy and responsible use of artificial intelligence (AI) in clinical practice.
New research argues that interacting with robots displaying human-like behaviors can cause people to adopt robot-like traits or ‘robotoid humanness.’