AI Medical Compendium

Patient-Initiated Permanent Deletion of Their Electronic Health Record Data: implications for Artificial Intelligence and Big Data in Healthcare : Clyde T. Matava, MBChB, MMed, MHSc.

Journal of medical systems Apr 21, 2026

Deep learning-based early prediction of carotid plaque response to lipid-lowering therapy using longitudinal multimodal ultrasound imaging.

Insights into imaging Apr 21, 2026

OBJECTIVE: This study aimed to develop and validate a deep learning prediction model using longitudinal multimodal ultrasound imaging for early identification of treatment-sensitive and treatment-resistant carotid plaques in patients receiving lipid-... read more

Harnessing machine learning and multi-scale modeling to discover novel ALOX15 inhibitors from marine natural products.

Molecular diversity Apr 21, 2026

ALOX15 is a key regulatory enzyme in multiple pathological processes including inflammation, cancer, and cardiovascular disease, rendering the development of potent inhibitors of this enzyme of significant clinical importance. This study aims to scre... read more

TripleBind: a generalizable deep learning framework for protein-nucleic acid and protein-ligand binding sites prediction based on pre-trained protein language models.

Molecular diversity Apr 21, 2026

Beta cell microRNAs function as molecular hubs of type 1 diabetes pathogenesis and as biomarkers of diabetes risk.

Diabetologia Apr 21, 2026

AIMS/HYPOTHESIS: Clinically actionable biomarkers that accurately reflect the health status of the beta cell are needed to improve risk stratification and optimise the timing of interventions in type 1 diabetes. We hypothesised that inflammatory stre... read more

Automated Deep Learning-Based Demyelination Load Segmentation in Metachromatic Leukodystrophy.

Clinical neuroradiology Apr 21, 2026

PURPOSE: Metachromatic leukodystrophy (MLD) is a rare lysosomal storage disorder characterized by progressive white matter demyelination. Quantification of demyelinated white matter on MRI-typically expressed as the demyelination load-serves as a key... read more

Whole-brain connectome analysis for elucidating specific structural neural networks in idiopathic normal-pressure hydrocephalus.

Magma (New York, N.Y.) Apr 21, 2026

OBJECTIVE: To test the hypothesis that idiopathic normal-pressure hydrocephalus (iNPH) is also associated with reproducible whole-brain structural connectivity reductions detectable by diffusion MRI connectomics, beyond the established clinical triad... read more

Machine Learning Prediction Models for Weight Loss Outcomes after Metabolic and Bariatric Surgery: a Systematic Review and Meta-Analysis.

Obesity surgery Apr 21, 2026

Technology in Diabetes: A Year in Review.

Diabetes therapy : research, treatment and education of diabetes and related disorders Apr 21, 2026

The past year has continued the rapid evolution of diabetes technology across the monitoring, delivery, analytics, and patient-support domains. Improvements in continuous glucose monitoring (CGM) accuracy and wear-time options, widening use and regul... read more

Enhancing large language model clinical support information with machine learning risk and explainability: a feasibility study.

Intensive care medicine experimental Apr 21, 2026

BACKGROUND: Current machine learning (ML) prediction models offer limited guidance for individualized actionable management. Large language models (LLMs) can transform ML model-predicted risk estimates with Shapley Additive Explanations (SHAP) into c... read more

Artificial Intelligence Medical Compendium