Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 212,780 articles

Can AI assist in reducing diagnostic error? A narrative review.

Diagnosis (Berlin, Germany) Jul 22, 2026
Diagnostic error, defined as missed, wrong, or delayed diagnoses or those not communicated to patients, is common, affecting 5-10 % of hospital admissions and clinic visits. Such errors cause patient harm in up to 1 in 100 of such encounters and acco... read more 

Bacterial heteroresistance mechanisms, dynamics, and emerging diagnostic approaches.

Bioscience reports Jul 22, 2026
Antibiotic heteroresistance is a form of within-isolate susceptibility heterogeneity in which an apparently susceptible bacterial population contains rare subpopulations capable of growth at substantially higher antibiotic concentrations. It is commo... read more 

Innovative AI-based system for precision diagnosis of childhood strabismus incorporating gaze tracking and real-time correction feedback.

European journal of ophthalmology Jul 21, 2026
PurposeStrabismus is a common pediatric eye disorder that can lead to developmental and psychosocial consequences if not treated promptly. Traditional diagnostic methods often depend on clinician expertise, which can result in variability and delayed... read more 

Can AI assist in reducing diagnostic error? A narrative review.

Diagnosis (Berlin, Germany) Jul 22, 2026
Diagnostic error, defined as missed, wrong, or delayed diagnoses or those not communicated to patients, is common, affecting 5-10 % of hospital admissions and clinic visits. Such errors cause patient harm in up to 1 in 100 of such encounters and acco... read more 

Unified Multi-Class Electroencephalogram Artifact Recognition Using Machine Learning Classifiers.

International journal of neural systems Jul 22, 2026
Artifacts are noisy signals that commonly contaminate electroencephalographic (EEG) recordings, mixing with underlying brain activity and degrading the quality of neurophysiological data. Previous research on epileptic Anomaly Detection has shown tha... read more 

Super-resolution imaging with deep learning-based segmentation for detailed characterization of mitochondrial arrangement in Pompe disease skeletal muscle

bioRxiv Jul 22, 2026
Pompe disease (glycogen storage disease type II) is an autosomal recessive lysosomal storage disorder characterized by progressive glycogen accumulation within lysosomes. It leads to their enlargement, autophagosome build-up and defective autophagic ... read more 
pathology

Binary node clustering via contrastive learning for haplotype phasing in de novo genome assembly

bioRxiv Jul 21, 2026
Accurate haplotype phasing is essential for high-quality genome assembly, yet de novo phasing of complex genomes without parental data remains challenging. We formulate haplotype phasing as a node clustering problem with overlapping clusters on augme... read more 
bioinformatics

Representative vs. Load-bearing Layers: A Dissociation in Genomic Foundation Models

bioRxiv Jul 21, 2026
Downstream use of genomic foundation models follows one of three conventions: aggregating representations across all layers (Pearce et al., 2026), defaulting to the last hidden state as a fixed feature extractor (Dalla-Torre et al., 2024), or picking... read more 
bioinformatics

Multi-model Segmentation and Morphometric Quantification of Cerebral Amyloid Angiopathy in Alzheimer's Disease Whole Slide Histopathology Images

bioRxiv Jul 21, 2026
Introduction: Cerebral amyloid angiopathy (CAA) is characterized by amyloid-beta deposition in cortical and leptomeningeal vessels and associated with cognitive impairment and hemorrhage. Current neuropathological assessments rely on semiquantitative... read more 
pathology

Aligning Reinforcement Learning with Clinical Practice for Safe Decision Support in Pediatric Sepsis

medRxiv Jul 21, 2026
Offline reinforcement learning (RL) has emerged as a promising framework for clinical decision support in sepsis, yet most existing studies focus exclusively on adult populations, leaving pediatric care largely unexplored despite important physiologi... read more 
intensive care and critical care medicine
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