Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
AI assistance raised prostate biopsy diagnostic accuracy among pathology residents. The largest gains were among less experienced trainees and on difficult slides.
Read the original →Applied Radiology Group Publisher Kieran Anderson recently sat down with Aashim Bhatia, MD, a pediatric neuroradiologist and program chair for ASPNR 2027.
Read the original →The solution offers specialty-specific chat that can be integrated within the EHR. It also includes 22 clinical calculators, accessible via chat or voice dictation.
Read the original →Anesthesiology researchers argue that AI in perioperative care must be human-centered. They warn that most models lack prospective validation and real-world deployment.
Read the original →Imaging volumes are growing and there is an ongoing radiologist shortage. The author suggests that more active involvement by radiologists in creating and developing AI models could help.
Read the original →AI use in hospitals currently spans documentation, diagnostic support, scheduling, billing and other administrative functions. The gains reported by hospitals are primarily in the time taken to complete tasks and the capacity to handle work.
Read the original →A new brief by the American Medical Association aims to answer who should be held responsible when AI makes a clinical mistake: the doctor, the health care provider or the company that built it. The five-page brief was released on Oct. 29.
Read the original →Sectra announced on November 4, 2026, a seven-year agreement to provide its AI-assisted Sectra Reporting module in Sectra One Cloud across all Mount Sinai Health System radiology services. The agreement covers more than 1.2 million...
Read the original →This edition of AI Prognosis looks at biotech startups that do not think drug discovery is where AI can make the biggest difference.
Read the original →Volume 43 of SLAS Discovery includes one review, seven original research articles and two entries from the Special Issue, High-Content Imaging and Informatics. The special issue is the 4th joint special issue with the Society for Biomolecular Imaging & Informatics.
Read the original →AI is rapidly transforming biometrics functions across the clinical trial lifecycle, from protocol design and statistical analysis planning to programming, data standardization and regulatory submissions. Organizations must also address challenges related to governance, validation, accountability, data privacy, reproducibility and regulatory compliance. The webinar explores how organizations can establish practical approaches to these challenges.
Read the original →A retrospective analysis of 3,011 FDA warning letters issued from January 2022 to September 2026 found that only seven, or 0.23 percent, referred to artificial intelligence.
Read the original →The European Commission and the Pharmaceutical Inspection Co-operation Scheme (PIC/S) consulted on draft Annex 22, Artificial Intelligence.
Read the original →Google announced a whitepaper on November 4, 2026, setting out how it evaluates general-purpose generative AI in health. The framework combines closed-question benchmarks, AI autoraters and expert human review.
Read the original →Artificial intelligence systems can improve diagnostic accuracy and healthcare efficiency without necessarily reducing disparities between patient groups.
Read the original →In this fifth installment, the author describes crossing over three times, from embedded systems to image AI and then to medical AI. The article covers how Kaggle supported them at each stage.
Read the original →The article asks whether AI should be recognized as a physician, a question that rapid progress may soon put before Japan's health policy. Discussion has already begun in the government's regulatory reform council. Health ministry guidelines require double-checking of lung and breast cancer screening X-ray images by two physicians, one of whom must be experienced.
Read the original →Gunma University Hospital in Maebashi has begun operating a system that uses generative AI to create drafts of medical documents. The aim is to reduce the writing burden on doctors and others. The AI works from information accumulated in electronic medical records.
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