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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
Image: Powerful Medical’s PMcardio Queen of Hearts identifies ECG findings suggestive of urgent ACS, including STEMI and STEMI equivalents, and rapidly alerts clinicians (Photo courtesy of Powerful Medical)

AI-Powered ECG Model Gains FDA Authorization for Emergency Cardiac Assessment

An AI ECG system detects urgent acute coronary syndrome, capturing STEMI equivalents and accelerating triage to cardiology. More...
16 Sep 2026
Image Credit: Shutterstock

Structure-Aware AI Aims to Improve Reliability of Medical Image Analysis

An AI approach embeds anatomical structure and reports uncertainty, improving interpretability in MRI Alzheimer’s classification. More...
16 Sep 2026
Image Credit: Diane E. MacDougall et al., FIND Lp(a) Machine Learning Model: Targeted Screening Enrichment of Elevated Lipoprotein(a) in Atherosclerotic Cardiovascular Disease, JACC: Advances (2026). DOI: 10.1016/j.jacadv.2026.103114

Machine Learning Supports Targeted Screening for Elevated Lipoprotein(a)

An AI approach leverages EMR data to target Lp(a) screening, finding ASCVD patients over 2x likelier to have high levels. More...
16 Sep 2026
Image: A new study compared three deep learning methods to determine which most accurately delineates stroke lesions on contrast-free MRI in routine clinical imaging (Image Credit: iStock)

AI Models Evaluated for Spotting Ischemic Stroke Lesions on Routine MRI

A new study evaluated three deep learning methods for stroke lesion detection on contrast-free MRI in routine clinical conditions. More...
16 Sep 2026
image:Ankur Kalra, MD, MSc, FACP, FACC, FSCAI, helped lead a research team that developed and tested an explainable AI scoring system to identify severe heart attack patients at high risk of bleeding into damaged heart muscle. (Image Credit: SUNY Upstate Medical University)

Explainable AI Tool Identifies High-Risk Patients Before Heart Attack Reperfusion

An explainable AI risk score flags intramyocardial hemorrhage risk before reperfusion in STEMI. More...
14 Sep 2026
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 The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.
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