A new JAMA Otolaryngology study reports that preoperative AI models can stratify short-term complication risk after tongue cancer surgery using routinely available clinical variables.

Can a diagnostic AI become fairer by being guided to look at the lesion itself? Zhu, Liu, Yuan et al. show that attention alignment can reduce gender disparity…

Software is no longer peripheral to medical devices. A two-decade analysis of FDA authorizations shows that digital functionality has become a substantial and growing feature of devices entering…

A real-world pilot study suggests that LLM-orchestrated PET/CT agents can automate the technical pipeline from raw DICOM data to draft report, but not replace physician judgment.

A multicenter study in NPJ Digital Medicine reports that TriageMaster-70B can triage possible acute coronary syndrome early, using only patient narratives and vital signs before ECG or biomarker…

A web-based deep learning platform may make AS-OCT assessment of infectious keratitis more quantitative and reproducible.

Machine learning applied to the HUNT population cohorts suggests that migraine can be diagnosed from broader clinical signals and may comprise distinct data-driven phenotypes.

An autonomous medical AI agent, MIRA, was tested in a sandboxed emergency department EHR and achieved high diagnostic accuracy with strong safety signals.

A prospective real-world study in nuclear medicine found that ChatGPT v4.1 performed well on administrative patient queries, but its medical answers still carried clinically relevant risks.

Single-night polysomnography can misclassify obstructive sleep apnea when sleep varies substantially from night to night. This study suggests that zero-burden, multi-night home monitoring may help reveal that variability.