AI Medical Compendium

Artificial intelligence predicts healthcare workers' antibiotic use intentions from psychological and behavioral measures across multiple theories.

Scientific reports Jan 28, 2026

Antimicrobial resistance (AMR) remains a global health priority, partly driven by non-guideline-concordant antibiotic prescribing among healthcare workers. Existing interventions often overlook the psychological and contextual factors that shape pres... read more

Reducing label dependence in vibration-based drill-bit condition monitoring with masked feature pretraining.

Scientific reports Jan 28, 2026

Reliable tool condition monitoring (TCM) plays a critical role in precision machining, where progressive wear can lead to dimensional inaccuracies, degraded surface finish, and unplanned downtime. Despite advances in data-driven diagnostics, most mac... read more

Sperm DNA fragmentation and its influence on mammalian reproduction.

Nature reviews. Urology Jan 28, 2026

Sperm DNA fragmentation is a recognized factor in male infertility with direct implications for embryo development, implantation and pregnancy outcomes. Historically, standard semen analysis has not included assessments of DNA integrity, creating a c... read more

AI-driven low-cost rehabilitation exergame as a lightweight framework for stroke assessment.

NPJ digital medicine Jan 28, 2026

Stroke is a leading cause of long-term disability, often affecting upper-limb motor function and requiring continuous assessment. The Fugl-Meyer Assessment (FMA), though a clinical gold standard, is time-consuming and demands specialized personnel. T... read more

The role of brain health and resilience in reshaping trajectories of late-life neuropsychiatric disorders.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Jan 28, 2026

Global population aging and increased chronic stress due to numerous mass disasters including those related to pandemics, climate change, war, displacement, and political unrest all challenge our collective resilience, with a growing burden of late-l... read more

Artificial Intelligence-Based Multi-Stage System for Automated Angle's Classification of Malocclusion from Intraoral Images in Orthodontics.

Journal of imaging informatics in medicine Jan 28, 2026

This study presents a multi-stage deep learning pipeline for automated Angle's classification of occlusion using intraoral images in orthodontics. The pipeline integrates three key stages: (1) a binary Occlusion Side Classifier (OSC) to determine whe... read more

Variability Regularized Feature Selection (VaRFS) for optimal identification of robust and discriminable features from medical imaging.

Npj imaging Jan 28, 2026

Computerized features derived from medical imaging have shown great potential in building machine learning models for predicting and prognosticating disease outcomes. However, the performance of such models depends on the robustness of extracted feat... read more

A comprehensive multi-task deep learning model for kidney cancer: histological subtyping, clinical staging, and anatomical complexity grading.

European radiology Jan 28, 2026

OBJECTIVES: To develop and validate a multi-task deep learning (MTDL) model using multiphase contrast-enhanced CT (CECT) for simultaneously assessing histological subtypes, clinical stages, and anatomical complexity grades of solid malignant renal tu... read more

Semi-supervised learning in prostate MRI tumor detection approaches fully supervised performance on external validation.

European radiology Jan 28, 2026

OBJECTIVE: To evaluate the diagnostic performance of semi-supervised learning models for aggressive prostate cancer detection on MRI compared to fully supervised models trained with additional expert annotations. MATERIALS AND METHODS: We used 1500 M... read more

Development and external validation of a diagnostic model for differentiating major depressive disorder from bipolar disorder.

BMC psychiatry Jan 28, 2026

Artificial Intelligence Medical Compendium