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Artificial Intelligence

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Privacy-Preserving AI Tool Synthesizes CT for Radiation Therapy Planning

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31 Oct 2026
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Tissue Around Breast Microcalcifications Emerges as a Key Source of Diagnostic Information

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31 Oct 2026
Image: The highlighted areas on MRI scans of patients with multiple sclerosis correspond to characteristic affected regions of various types. Modern computer vision models effectively detect the areas marked in red but have a hard time spotting the green ones. (Photo courtesy of Nadezhda Alsahanova et al.)

AI Approach Improves Brain MRI Lesion Detection in Epilepsy and Multiple Sclerosis

An AI approach steers MRI segmentation to key features, improving subtle epilepsy and MS lesion detection. More...
29 Oct 2026
Image: Coach Mpilo is a free, confidential health care coach available through WhatsApp. (Image Credit: Alastair Van Heerden / Wits University)

AI Tool Prioritizes Peer Referrals to Expand HIV Testing Access

An AI approach prioritizes WhatsApp health coach nudges to boost peer referrals to HIV services among men and adolescents. More...
28 Oct 2026
Image: Left - The image is of a non-cancerous skin lesion with a low-risk DEXI score of 1.2 and reassuring features (asymmetry, border, color and diameter) that help inform physicians that it should be monitored. Right -The image of an invasive melanoma with a high-risk DEXI score of 8.9 and features (asymmetry, border, color and diameter) that help inform physicians that it should be biopsied. (Image Credit: Mayo Clinic)

Explainable AI Dermoscopy Tool Supports Risk Assessment for Skin Cancer

An AI approach assigns explainable dermoscopy risk scores, detecting skin cancers with 93% sensitivity to guide monitoring/biopsy. More...
26 Oct 2026
Image: Model architecture of proposed model. (Alatebi, W., Seth, A., Rao, M.B. et al. Journal of Statistical Theory and Practice, 2026. https://doi.org/10.1007/s42519-026-00641-9)

AI Model Improves Breast Cancer Survival Prediction

An AI approach combining statistics and deep learning improves breast cancer survival prediction and risk stratification. More...
26 Oct 2026
Image: Longitudinal trajectories of body composition from −36 months to 0 months for PDAC cases and matched controls: (A) Skeletal muscle index, (B) subcutaneous fat index and (C) visceral fat index. (Bogdanski AM, Klatte DCF, van Hooft JE, et al. Longitudinal body composition changes distinguish pancreatic ductal adenocarcinoma from controls in a pre-diagnostic CT cohort. Pancreatology. 2026. doi:10.1016/j.pan.2026.09.00)

Routine CT Body Composition Tool Helps Identify Early Pancreatic Cancer Risk

An AI approach quantifies routine CT body composition changes that signal pancreatic cancer risk years before diagnosis. More...
22 Oct 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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