Artificial Intelligence Medical Compendium

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

Showing 61 to 70 of 199,772 articles

Essential Data Elements for Laboratory Test Interoperability: An Expert Consensus-Based Framework.

Annals of laboratory medicine
The increasing digitalization of healthcare necessitates laboratory data interoperability to ensure reliable clinical decision-making, efficient data exchange, and effective secondary use. Most Korean institutions use electronic systems for laborator... read more 

An interpretable machine learning framework for dog breed inference and ancestry decomposition

bioRxiv
The over 300 currently recognized breeds of domesticated dogs are the culmination of centuries of intense artificial selection and recurrent population bottlenecks. While breed labels are widely used in genetic and veterinary studies, inferring breed... read more 

Sensorimotor encoding of epistemic value during goal-directed causal learning

bioRxiv
Understanding the neural and computational mechanisms underlying goal-directed causal learning is a central challenge in both cognitive neuroscience and artificial intelligence. This cognitive function depends on balancing reward maximization with in... read more 

Distinct associations between multimodal brain measures and psychopathology domains predict adolescent functioning

bioRxiv
Adolescent psychopathology is partly rooted in measurable disruptions across key neural networks, yet the field still lacks an integrated, multimodal understanding of these brain-behavior links. Here, we examined how structural, microstructural, and ... read more 

ViTAMIn-O: Democratizing computer vision-based machine learning for stem cell research

bioRxiv
Deep Learning (DL) holds exciting potential in automating the prediction of organoid differentiation results. Nevertheless, current models lack adaptability, openness, and robustness in performance. Additionally, broad employments of predictive model... read more 

Deep Longitudinal Clusters of Type 2 Diabetes Pathophysiology and their Risk of Cardiovascular Disease Events and All-Cause Mortality

medRxiv
Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with atherosclerotic cardiovascular disease (ASCVD) are conventionally described using models based on single time points. We identified longitudinal diabetes ... read more 

Self-Reported Side Effects Among Reddit Users Taking Unapproved Retatrutide

medRxiv
Gray-market retatrutide use is increasing, but patient safety experiences remain poorly characterized. This cross-sectional analysis examined Reddit posts and comments from retatrutide-specific and broader peptide or weight-management communities thr... read more 

Convergent genome- and gene-level constraints shape repeated environmental adaptation in grasses

bioRxiv
Grasses (Poaceae) dominate terrestrial ecosystems and sustain global food security, yet the genomic principles enabling their repeated adaptation to extreme environments remain unresolved. Combining dense phylogenomic sampling, global environmental d... read more 

Data-Efficient Exploration of Enzyme Function Using Family-Specific Machine Learning

bioRxiv
Enzymes are essential biocatalysts across diverse industries, driving demand for high-performing variants. Foundation models are attractive for guiding enzyme discovery, but often lack the resolution to model subtle variations driving function within... read more 

Integrating Histology with Spatial Molecular Programs Using a Multimodal Foundation Model

bioRxiv
Histopathological assessment remains central to cancer diagnosis and stratification, yet its mechanistic interpretation remains limited without molecular context. To address this, we developed SQUALL, a multimodal foundation model integrating histolo... read more