AudioScholar AI in Medicine Update

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Episodes

  1. Nov 1

    AI in Medicine Update — Oct 31, 2026

    Editor's Pick: Impact of Unrestricted Artificial Intelligence Scribe Deployment in a Single Health System on Clinician Workload and Productivity : A Quality Improvement Study (Annals of Internal Medicine, 2026) This AudioScholar briefing is generated by artificial intelligence for healthcare professionals and trainees. It is not medical advice. Welcome to your weekly update in AI in Medicine. This period runs on three threads. The first is the most immediate: a large real-world look at ambient AI scribes suggests they save documentation time, but less than the hype implies, and without lift… This week's papers: 1. Impact of Unrestricted Artificial Intelligence Scribe Deployment in a Single Health System on Clinician Workload and Productivity : A Quality Improvement Study.. Annals of Internal Medicine 2026. 2. A clinical multimodal vision language foundation model with fine-grain explainability.. Nature Medicine 2026. 3. Autonomous biomedical research with an artificial intelligence agent.. Science 2026. 4. The Virtual Biotech: A multi-agent AI framework for therapeutic discovery and development.. Science 2026. 5. From code to cure: Harnessing AI for antibiotic discovery and design.. Science Translational Medicine 2026. 6. How to build an AI-driven digital organism.. Nature Medicine 2026. 7. AI-based characterization of Alzheimer's disease phenotypes from population-scale single-cell data.. Nature Medicine 2026. 8. Biomarkers of nivolumab benefit in resectable non-small cell lung cancer.. Nature 2026. Listen at https://audioscholar.cc/episode/78pm64y2t3

  2. Oct 25

    AI in Medicine Update — Oct 24, 2026

    Editor's Pick: Overuse and False Restraint in Large Language Model Recommendations for Choosing Wisely Scenarios (Annals of Internal Medicine, 2026) This AudioScholar briefing is generated by artificial intelligence for healthcare professionals and trainees. It is not medical advice. Welcome to your weekly update in AI in Medicine. This period has three threads. Language models are being tested as diagnosticians, as advisers on low-value care, and as personal health coaches, and the results look strong on benchmarks but uneven wh… This week's papers: 1. Sequential diagnosis with language models.. Science 2026. 2. Overuse and False Restraint in Large Language Model Recommendations for Choosing Wisely Scenarios.. Annals of Internal Medicine 2026. 3. The anatomy of a personal health agent.. Nature 2026. 4. Rapid patient-specific neural networks for X-ray to volume registration.. Nature 2026. 5. Artificial intelligence-enabled clinical phenotyping of human brown fat.. Nature 2026. 6. Sex-specific biological aging clocks across organs and omics.. Nature Medicine 2026. 7. A machine learning-derived aging index for risk stratification and mortality prediction in cardiovascular-kidney-metabolic syndrome: A retrospective cohort stu…. PLOS Medicine 2026. 8. Metabolomic aging and mortality clocks based on ensemble learning identify systemic aging risk across the human life span in 18,476 individuals.. Science Translational Medicine 2026. 9. Trastuzumab plus nivolumab with gemcitabine and cisplatin as first-line therapy for HER2-positive unresectable biliary tract cancer: a phase 1b/2 trial.. Nature Medicine 2026. Listen at https://audioscholar.cc/episode/hywy5dvr7u

  3. Oct 18

    AI in Medicine Update — Oct 17, 2026

    Editor's Pick: Reporting completeness of clinical trials evaluating large language model interventions in medicine: systematic review (BMJ, 2026) This AudioScholar briefing is generated by artificial intelligence for healthcare professionals and trainees. It is not medical advice. Welcome to your weekly update in AI in Medicine. Three threads run through this period's papers. First, AI has quietly become part of everyday clinical reasoning, mostly for treatment decisions, and it is now entering the consultation itself. This week's papers: 1. Clinician Use of an Artificial Intelligence-Enabled Clinical Information Platform.. JAMA 2026. 2. Reporting completeness of clinical trials evaluating large language model interventions in medicine: systematic review.. BMJ 2026. 3. Human-artificial intelligence collaboration for comanaging epilepsy in real time.. Nature Medicine 2026. 4. An open vision-language model for diverse medical applications.. Nature Medicine 2026. 5. AI-assisted scoping review of code sharing in clinical prediction model research.. Nature Medicine 2026. 6. Ambient scribes as narrative technologies.. The Lancet 2026. 7. Histological aging signatures for monitoring tissue-specific aging and disease.. Nature Medicine 2026. 8. Metabolic determinants of cancer immunotherapy outcomes identified by plasma profiling.. Nature Medicine 2026. 9. Blood-based circular RNAs for early diagnosis of Alzheimer's disease.. Nature Medicine 2026. Listen at https://audioscholar.cc/episode/udpp9qdn54

  4. Oct 11

    AI in Medicine Update — Oct 10, 2026

    Editor's Pick: Prospective evaluation of a large language model clinical decision support system in the emergency department (Nature Medicine, 2026) This AudioScholar briefing is generated by artificial intelligence for healthcare professionals and trainees. It is not medical advice. Welcome to your weekly update in AI in Medicine. This period, the evidence moves out of the benchmark and into the building. Prospective deployments of language models in an emergency department and a primary care clinic suggest that accuracy may no… This week's papers: 1. Prospective evaluation of a large language model clinical decision support system in the emergency department.. Nature Medicine 2026. 2. Conversational diagnostic artificial intelligence in ambulatory primary care: a prospective feasibility study.. The Lancet 2026. 3. Large-scale AI-guided liver malignancy diagnosis: multicenter study and a single-arm trial.. Nature Medicine 2026. 4. Electrocardiogram-Based Deep Learning to Prioritize Testing for Transthyretin Amyloid Cardiomyopathy.. JAMA 2026. 5. Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence.. Nature Medicine 2026. 6. A clinically-oriented foundation model for intraoperative pathology.. Nature Medicine 2026. 7. On-premise medical AI agents for reliable clinical decision-making.. Nature Medicine 2026. 8. A clinically validated framework for auditing AI chatbot behavior in mental health interactions.. Nature Medicine 2026. 9. Ethics and Professionalism in Artificial Intelligence and Medical Practice: A Position Paper From the American College of Physicians.. Annals of Internal Medicine 2026. 10. Prediction of maternal and infant outcomes from longitudinal electronic health records with a mother-child AI agent.. Nature Medicine 2026. Listen at https://audioscholar.cc/episode/p62qdfhpg6

  5. Sep 18

    AI in Medicine Update — Sep 17, 2026

    Welcome to your weekly update in AI in Medicine. This period is dominated by a single question, asked ten different ways: not whether a model can match an expert, but what happens to the human being sitting in front of the images when the model is s… This week's papers: 1. AI-based clinician decision support system for diagnosis of inherited retinal diseases: a multicenter, randomized trial.. Nature Medicine. 2. Bridging the Generalist-Subspecialist Gap with GPT-5-Thinking: Dual-Center Evaluation in Orbital and Head-and-Neck Tumor MRI Reports.. Radiology. 3. Improving Recognition Performance and Reader Efficiency for Femoral-Neck Fracture Detection on Pelvic or Hip Radiographs Using Artificial Intelligence.. Radiology. 4. Multinational Validation of a Radiography-Based AI Tool for Appendicular Fracture Detection and Corresponding Reader Performance.. Radiology. 5. Passive heart-rate monitoring during smartphone use in everyday life.. Nature. 6. An expert-level generalist AI for abdominal CT diagnosis.. Science. 7. The Sieve of Asclepius: A History of Navigating the Medical Literature, From Index to Algorithm.. Annals of Internal Medicine. 8. Self-explaining artificial intelligence for the classification of B cell non-Hodgkin lymphoma: A diagnostic decision support study.. PLOS Medicine. 9. Contrast-enhanced CT Radiomics for High-Grade Pattern Identification and Prognostic Stratification in Lung Adenocarcinoma with Consolidation-to-Tumor Ratio of…. Radiology. 10. Radiograph-based Deep Learning Algorithm for Assisting Bone Tumor Risk Assessment: A Multicenter Study.. Radiology. Listen at https://audioscholar.cc/episode/x5e9q4f7w5

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