AI Medical Compendium

Artificial intelligence based on forensic medical databases: construction, application, and prospects.

Forensic science, medicine, and pathology Apr 10, 2026

Ambipolar Organic-Inorganic Heterostructure Transistor Array for Integrated Visual Information Processing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 10, 2026

The rapid evolution of artificial intelligence presents not only unprecedented opportunities but also significant technical challenges, particularly in the development of next-generation computing hardware. To overcome these hurdles, there is an urge... read more

Uncertainty-aware deep learning for classifying colonic fdg-pet uptake using radiomic features.

Radiological physics and technology Apr 10, 2026

A machine-learning-based tool for stroke risk prediction in blunt cerebrovascular injury: development and preliminary evaluation.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Apr 10, 2026

PURPOSE: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI). Although anti-thrombotic therapy is the mainstay of stroke prevention, no point-of-care clinical decision-support tool exists to guide timing for th... read more

Age estimation from the immature pars lateralis using decision tree analysis.

International journal of legal medicine Apr 10, 2026

Plaque-level machine-learning prediction of carotid plaque vulnerability on computed tomography angiography.

Neuroradiology Apr 10, 2026

AI-Designed Peptides as Tools for Biochemistry.

Biochemistry Apr 10, 2026

Peptides occupy a unique niche as biochemical tools: they are small, modular reagents capable of perturbing protein function with a precision that is often inaccessible to small molecules or antibodies. Historically, their broader use in biochemical ... read more

Predicting the stone-free status post percutaneous nephrolithotomy: a meta-analysis of machine learning models.

Urolithiasis Apr 10, 2026

Integrating machine learning and spatial transcriptomics uncovers shared immunomodulatory deubiquitinases in MAFLD and HCC.

Human genetics Apr 10, 2026

Baseline pain, fatigue, and sleep quality predict 12-week pain improvement in inflammatory arthritis: retrospective real-world analysis of a digital health application cohort.

Rheumatology international Apr 10, 2026

UNLABELLED: Despite advances in pharmacotherapy, many patients with inflammatory arthritis (IA) experience residual pain even in remission. Digital health applications (DHAs), when combined with machine learning, may help identify predictors of pain ... read more

Artificial Intelligence Medical Compendium

Artificial intelligence based on forensic medical databases: construction, application, and prospects.

Ambipolar Organic-Inorganic Heterostructure Transistor Array for Integrated Visual Information Processing.

Uncertainty-aware deep learning for classifying colonic fdg-pet uptake using radiomic features.

A machine-learning-based tool for stroke risk prediction in blunt cerebrovascular injury: development and preliminary evaluation.

Age estimation from the immature pars lateralis using decision tree analysis.

Plaque-level machine-learning prediction of carotid plaque vulnerability on computed tomography angiography.

AI-Designed Peptides as Tools for Biochemistry.

Predicting the stone-free status post percutaneous nephrolithotomy: a meta-analysis of machine learning models.

Integrating machine learning and spatial transcriptomics uncovers shared immunomodulatory deubiquitinases in MAFLD and HCC.

Baseline pain, fatigue, and sleep quality predict 12-week pain improvement in inflammatory arthritis: retrospective real-world analysis of a digital health application cohort.

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