AI Medical Compendium

Artificial Intelligence Monitoring of Neurological Status From Patient Videos in the Neuroscience Intensive Care Unit.

Neurosurgery Jan 14, 2026

BACKGROUND AND OBJECTIVES: The neurological examination is pivotal in assessing patients with neurological conditions but has severe limitations: It can vary between examiners, may not discern subtle or subacute changes, and being intermittent can de... read more

Domain-Wall-Mediated Interfacial Ferroelectric Switching.

Nano letters Jan 14, 2026

Interfacial ferroelectricity offers a promising platform for ultrafast, low-power memory devices. While previous studies have demonstrated the importance of a domain wall (DW) in polarization switching, the coexistence of various DW types and their i... read more

Artificial Intelligence to Propel Evidence Generation.

Journal of the American College of Cardiology Jan 14, 2026

Optimization and validation of multiscale feature selection for EEG-based recognition of drivers' negative emotions.

Traffic injury prevention Jan 14, 2026

OBJECTIVE: Negative emotions, such as stress and anger, are significant factors leading to dangerous driving behavior. Investigating the impact of these emotions on driving safety is crucial for effective traffic injury prevention. METHODS: Electroen... read more

AI-powered hierarchical classification of ampullary neoplasms: a deep learning approach using white-light and narrow-band imaging.

Surgical endoscopy Jan 14, 2026

BACKGROUND: Endoscopic diagnosis of Ampulla of Vater (AoV) lesions remains challenging owing to complex morphology and limited representative images, particularly for high-risk dysplastic lesions. This study aimed to develop a hierarchical deep learn... read more

Machine learning models in predicting viability after testicular torsion: a proof of concept study.

Pediatric surgery international Jan 14, 2026

PURPOSE: Decision-making for orchiectomy following testicular torsion often relies on subjective clinical evaluations. This study investigates the efficacy of machine learning (ML) models in objectively predicting post-torsion testicular viability, a... read more

Orchiectomy Testis Infant Child Spermatic Cord Torsion Machine Learning Male Child, Preschool Prospective Studies Orchiopexy Humans Proof of Concept Study Decision Trees Adolescent

Exploring structural diversity and dynamic stability of small-molecule PRMT5 inhibitors through machine learning-based QSAR and molecular modelling.

Molecular diversity Jan 14, 2026

Protein arginine methyltransferase 5 (PRMT5) is a key epigenetic enzyme that catalyses symmetric arginine methylation on histone and non-histone proteins, influencing chromatin organisation, RNA splicing, and oncogenic signalling. Its overexpression ... read more

PODiaCarD: a prototype of a digital twin platform for the management of pediatric obesity and related cardiometabolic complications.

European journal of pediatrics Jan 14, 2026

UNLABELLED: Childhood obesity is the main driver of early metabolic risk, predisposing to cardiovascular disease (CVD) and type 2 diabetes (T2D), which cause millions of deaths worldwide. Their progression is influenced by biological, behavioral, and... read more

Male Cardiovascular Diseases Reproducibility of Results Diabetes Mellitus, Type 2 Pediatric Obesity Child Adolescent Humans Female Machine Learning

Dynamic Ensemble Selection for Early Detection of Deep Vein Thrombosis in Fracture Patients.

Journal of medical systems Jan 14, 2026

Deep vein thrombosis (DVT) in fracture patients is often clinically silent, with a high incidence of thrombosis and associated mortality. Static machine learning methods struggle to address the challenge of early DVT diagnosis due to their inability ... read more

Area Under Curve Early Diagnosis Fractures, Bone Machine Learning Risk Assessment Humans Aged Middle Aged Electronic Health Records Male Venous Thrombosis Algorithms ROC Curve Female

Machine learning and multi-omics integration identifies immunological predictors and mechanistic insights in autoimmune encephalitis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.] Jan 14, 2026

OBJECTIVE: To develop an interpretable prognostic prediction model for autoimmune encephalitis (AE) using immunological indicators and to investigate the potential role of nucleophosmin (NPM1) in disease pathogenesis through multi-omics approaches. M... read more

Encephalitis Encephalomyelitis, Autoimmune, Experimental Nucleophosmin Middle Aged Female Machine Learning Transcriptome Humans Animals Male Prognosis Nuclear Proteins Hashimoto Disease Autoantibodies Multiomics Adult

Artificial Intelligence Medical Compendium