Artificial Intelligence Medical Compendium

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

Showing 41,671 to 41,680 of 223,853 articles

HipSAFE: automating hip fracture detection on ultrasound imaging using deep learning

bioRxiv Mar 16, 2026
Falls among older adults can result in hip fractures that requires x-ray based assessment at emergency department (ED). Only 25.7% of patients presenting to EDs are diagnosed with a hip fracture, as such improved diagnosis prior to transportation to ... read more 
bioengineering

A new pipeline for cross-validation fold-aware machine learning prediction of clinical outcomes addresses hidden data-leakage in omics based 'predictors'.

bioRxiv Mar 16, 2026
Machine learning approaches are increasingly applied to high-dimensional biological data in which features are often dataset-dependent. In many omics workflows, features are computed using information derived from the entire dataset, such as correlat... read more 
bioinformatics

TracktorLive: an integrated real-time object tracking and response system

bioRxiv Mar 16, 2026
Real-time tracking and automated response systems are essential for standardising experiments, reducing observer bias, and improving reproducibility in studies of movement and behaviour. However, existing solutions face significant challenges: AI-bas... read more 
animal behavior and cognition

AetherCell: A generative engine for virtual cell perturbation and in vivo drug discovery

bioRxiv Mar 16, 2026
Virtual cell modeling is currently hindered by a "data-utility paradox": biological information is fragmented between context-rich clinical RNA-seq and perturbation-dense experimental assays, leading to poor predictive generalization in human context... read more 
bioinformatics

Stoic: Fast and accurate protein stoichiometry prediction

bioRxiv Mar 16, 2026
Motivation: Protein complexes are central to cellular function, but experimental determination of their structures remains challenging. Structure prediction methods require prior knowledge of stoichiometry - the number of copies of each protein entit... read more 
bioinformatics

LysinFusion: Integrating Multi-Feature Encoding and Hybrid CNN-Transformer Architecture for Phage Lysin Prediction

bioRxiv Mar 16, 2026
The growing threat of antimicrobial resistance underscores the demand for new therapeutic modalities. Phage lysins are promising candidates, yet their large-scale discovery from expanding genomic resources remains limited. Existing computational meth... read more 
bioinformatics

Reward-Guided Generation Improves the Scientific Utility of Synthetic Biomedical Data

medRxiv Mar 16, 2026
Synthetic data generation is a promising approach for biomedical data sharing and dataset augmentation, yet existing methods lack mechanisms to preserve statistical properties necessary for scientific analysis. To address this, we introduce RLSYN+REG... read more 
health informatics

Multimodal Machine Learning for Glaucoma Detection in a Sub-Saharan African Clinical Population

medRxiv Mar 16, 2026
Purpose: To evaluate the performance of machine learning models for automated glaucoma detection using multimodal clinical, structural, and functional data from a West African clinical cohort. Methods: In this retrospective observational study, we an... read more 
ophthalmology

A twin-aware multimodal deep learning framework with optimized late fusion for early prediction of adolescent anxiety disorder

medRxiv Mar 16, 2026
Mental health related problems in adolescents are not always properly evaluated because of incomplete evaluation methods that do not combine biological, behavioral, and demographic details. Therefore, our study proposes a twin-aware multimodal deep l... read more 
psychiatry and clinical psychology

Heterogenous treatment effects of blood transfusion in hospitalized patients with congestive heart failure

medRxiv Mar 16, 2026
Background: Anemia is nearly ubiquitous in hospitalized patients with congestive heart failure (CHF), yet little data informs the decision to transfuse blood in this population. Objectives: To determine average and heterogenous effects of blood trans... read more 
cardiovascular medicine
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