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Artificial Intelligence

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AI Platform Screens for Amyloid Cardiomyopathy Using ECG Images

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28 Sep 2026
Image: Clinical LLM Performance Improves by >300% When Provided with High-Quality Real-World Evidence in New Precision Medicine Benchmark (Photo courtesy of Atropos Health)

New Benchmark Highlights Evidence Gaps in AI Responses to Clinical Questions

A new precision medicine benchmark evaluates LLMs on patient-context queries, with 300% gains using real-world evidence. More...
28 Sep 2026
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AI Model Uses Pretreatment CT Scans to Predict Immunotherapy-Related Pneumonitis Risk

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26 Sep 2026
Image: only about 200 are available in the United States. Black lung and silicosis can develop after years of inhaling coal or rock dust, with severe breathing problems sometimes taking 10 to 20 years to appear (Image Credit: Adobe Stock)

AI Tool Improves Early Detection of Silicosis and Black Lung on X-Rays

An AI approach flags early lung scarring in dust-exposed workers with 91% accuracy. More...
26 Sep 2026
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Explainable AI Tool Improves Brain Disorder Screening from 4D fMRI

An AI approach analyzes 4D fMRI to screen brain disorders, outperforming peers and highlighting regions driving predictions. More...
26 Sep 2026
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Multimodal AI Improves Treatment Response Prediction in Lung Cancer

An AI approach integrates multimodal routine data to predict NSCLC immunotherapy response and survival. More...
18 Sep 2026
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

An AI approach detects large vessel occlusion on non-contrast CT, improving accuracy and sensitivity in stroke triage. More...
17 Sep 2026
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