Daily Briefing for October 25, 2026

Ambient AI speeds chart closing up to 39% at Jefferson Health, study finds The voices on this episode are generated, and so is the script, from the day's post at Physician in the Loop. Every fact in the post links to its source. Read the post and its sources Get the free email briefing Clinicians at Jefferson Health who adopted Abridge's ambient AI cut their time to close charts by 25.3% to 39.3%, according to a study published Oct. 23 in NEJM Catalyst Innovations in Care Delivery. The study covered 5,234 clinicians with access to the tool, about 34% of whom actively recorded visits, and 283,028 ambulatory encounters in the second half of 2025, Becker's Hospital Review reported . The authors described the results as associations and noted that adopters may have differed from clinicians who did not use the tool. Abridge had no role in the study and provided no funding, according to the report. Elsewhere, Inova Health System said it had drawn up plans to switch off three AI features whose performance declined, a Lancet Digital Health experiment found that radiologists and other physicians both followed wrong AI advice and ignored correct advice on head CT scans, and a JAMA Psychiatry study found that adding imaging, genetics and microbiome data did not improve a model's prediction of depression relapse. In this episode Jefferson Health clinicians using Abridge's ambient AI cut time to chart closure 25.3% to 39.3%, NEJM Catalyst study reports Inova plans to decommission three AI features after a quarterly review finds their performance declining; 92 features remain in production Radiologists and other physicians both follow wrong AI advice and ignore correct advice on head CT, Lancet Digital Health experiment finds Adding brain imaging, genetics and microbiome data does not improve machine learning prediction of depression relapse, JAMA Psychiatry study finds 89% of clinical leaders want mandatory ongoing AI proficiency training for staff, HIMSS survey of 525 finds Siemens Healthineers and Nvidia plan AI agents and patient digital twins for radiotherapy planning