AI in Medicine Update — AudioScholar

Episod

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  AI in Medicine Watch — Sep 24, 2026 25.09.2026 7min

  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, multimoda… This week's papers: 1. Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC. — Nature Medicine 2. Deep Learning-derived Bone Mineral Density and Longitudinal White Matter Microstructure and Cognitive Decline: Multi-Ethnic Study of Atherosclerosis. — Radiology 3. Opportunistic Chest CT Paraspinal Muscle Biomarkers to Predict Longitudinal Thoracic Vertebral Bone Mineral Density Loss: Results from MESA. — Radiology 4. Machine learning-driven spleen imaging and genomics uncover a splenic connection to coronary artery disease. — Science Translational Medicine 5. Multimodal protective and susceptibility clusters in paediatric atopic dermatitis: A machine learning-based, data-driven observational study. — PLOS Medicine Listen at https://audioscholar.cc/episode/ecp5nyt2sd
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  AI in Medicine Watch — Sep 17, 2026 18.09.2026 10min

  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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  AI in Medicine Watch — Sep 11, 2026 11.09.2026 13min

  Welcome to your weekly update in AI in Medicine. This period gives us something the field has badly needed: randomized trials. Two of them, and they point in different directions — a large language model assistant in Kenyan primary care that changed… This week's papers: 1. Generative AI-enabled clinical decision support system in primary care: a pragmatic, cluster-randomized trial. — Nature Medicine 2. An AI-Based OCT System to Detect Diabetic Macular Edema: A Prospective Validation and Noninferiority Randomized Clinical Trial. — JAMA 3. Global advances in health artificial intelligence: a workforce imperative. — The Lancet 4. Safety and security of large language models in healthcare. — Nature 5. Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people. — Nature Medicine 6. Health system learning enables generalist neuroimaging models. — Nature Medicine 7. An Artificial Intelligence-Enabled Cardiopulmonary Resuscitation Instructor. — JAMA Internal Medicine 8. A clinical decision support tool for accurate hip fracture prediction: A nationwide cohort study. — PLOS Medicine 9. How to benchmark medical AI agents. — PLOS Medicine 10. An ECG biomarker for sudden cardiac death discovered with deep learning. — Nature Listen at https://audioscholar.cc/episode/77v2wyq43t