Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1 to 10 of 221,227 articles

A clinical decision support tool for accurate hip fracture prediction: A nationwide cohort study.

PLoS medicine Aug 27, 2026
BACKGROUND: Although hip fractures are commonly associated with functional decline, increased morbidity, and mortality, accurate models for both short- and long-term prediction that do not rely on in-person assessment remain lacking. The aim was to d... read more 

Identification of Vital Genes Common to Dilated and Hypertrophic Cardiomyopathy Using Machine Learning and Bioinformatics.

Anatolian journal of cardiology Aug 27, 2026
BACKGROUND: Heart failure (HF) is a complex clinical syndrome and a leading cause of hospitalization and mortality worldwide, with significantly increasing mortality rates over time. Dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM) ... read more 

Deep molecular profiling of lung neuroendocrine tumours and supra-carcinoids.

Molecular cancer Aug 27, 2026
BACKGROUND: Lung neuroendocrine tumours (NETs, also known as carcinoids) are rapidly rising in incidence worldwide but have unknown aetiology and limited therapeutic options beyond surgery. The current WHO classification, based on mitotic count and p... read more 

GDLS-D: two-stage medical surface reconstruction via geometric diffusion least squares and iterative deformation optimization.

Medical & biological engineering & computing Aug 27, 2026
Surface representations of anatomical structures are crucial for medical applications including preoperative planning and biomechanical simulations, yet current methods face challenges from limited datasets and staircase artifacts. This study propose... read more 

Deep molecular profiling of lung neuroendocrine tumours and supra-carcinoids.

Molecular cancer Aug 27, 2026
BACKGROUND: Lung neuroendocrine tumours (NETs, also known as carcinoids) are rapidly rising in incidence worldwide but have unknown aetiology and limited therapeutic options beyond surgery. The current WHO classification, based on mitotic count and p... read more 

Changing the Game: Artificial Intelligence in Sports Medicine and Sports Surgery.

Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine Aug 27, 2026
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Label-free ovarian cancer histopathological diagnosis using two-photon autofluorescence microscopy with a joint denoising and segmentation framework.

Light, science & applications Aug 27, 2026
Two-photon autofluorescence (TPAF) microscopy is a promising modality for rapid, label-free assessment of unstained tissue, but is fundamentally limited by the poor visibility of nuclei, which are one of the gold-standard cancer biomarkers, due to th... read more 

Perceived communication quality of a standardized neuroradiology report following AI-based simplification: a randomized, blinded study.

Insights into imaging Aug 27, 2026
OBJECTIVES: Radiology reports are primarily written for professional communication and may be difficult for patients to understand. We investigated whether AI-based simplification of a single standardized neuroradiology report improves participant-ra... read more 

An artificial intelligence and numerical simulation-based strategy for multi-objective optimization of hemodynamics in curved vessels.

Physical and engineering sciences in medicine Aug 27, 2026
Understanding and optimizing blood flow behavior in curved vessels is crucial for improving cardiovascular treatment planning and reducing complications such as thrombosis and impaired oxygen transport. Although recent advances in computational model... read more 

Machine Learning Prediction of Local Failure in GI Brain Metastases on the Day of Gamma Knife Radiosurgery.

Journal of gastrointestinal cancer Aug 27, 2026
BACKGROUND: Time to local failure after stereotactic radiosurgery (SRS), including Gamma Knife radiosurgery (GKRS), for gastrointestinal (GI) brain metastases is difficult to predict and may vary substantially across tumors and patients. We developed... read more 
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