Artificial Intelligence Medical Compendium

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

Showing 45,731 to 45,740 of 224,055 articles

Interpretable AI driven materiomics to decode microenvironmental cues for stem cell immunomodulation

bioRxiv
Hydrogels that mimic the extracellular matrix can create a microenvironment with various physicochemical cues, which significantly influence stem cell fate with particular emphasis on their immunoregulatory and pro-regenerative functions. However, el... read more 

Assessment of Generative De Novo Peptide Design Methods for G Protein-Coupled Receptors

bioRxiv
G protein-coupled receptors (GPCRs) play an ubiquitous role in the transduction of extracellular stimuli into intracellular responses and therefore represent a major target for the development of novel peptide-based therapeutics. In fact, approximate... read more 

Decomposing response inhibition: a POMDP model

bioRxiv
Inhibition is a core cognitive control function whose competence is distributed across the population, with more extreme impairments in psychiatric conditions such as attention deficit hyperactivity disorder (ADHD). The Stop Signal Task (SST) is a wi... read more 

MONICA: A Web Application for Automated Whole Optic Nerve Contour Extraction and Morphometric Analysis Validated Across Taxonomic Orders and Image Quality Levels

bioRxiv
Quantitative assessment of optic nerve health requires metrics beyond axon counts alone. Axon density and glial coverage fraction correlate with clinical measures of visual function, yet no existing automated tool extracts optic nerve cross-sectional... read more 

A fast and accurate calculation method for light induced isomerization of retinal proteins in real time

bioRxiv
Retinal is a chromophore covalently bound to various photoreceptors. Its photo-induced isomerization triggers a series of structural changes named photocycle, leading to diverse biological functions. Despite tremendous advances in structural biology ... read more 

Large Language Models Readability Classification: A Variability Analysis of Sources and Metrics

medRxiv
Accurate health information is ineffective if patients cannot understand it. Large Language Model (LLM) health research values veridical precision; however, linguistic accessibility remains an under-examined component of output quality and usability.... read more 

A Proof-of-Concept Study of a Clinical Decision Support System for Vancomycin Therapeutic Monitoring

medRxiv
Artificial intelligence (AI), particularly large language models (LLMs), is increasingly explored in healthcare, yet its real-world usability and safety in high-risk clinical pharmacy tasks remain uncertain. Vancomycin therapeutic drug monitoring (TD... read more 

An interpretable and explainable neural network to classify sports-related cardiac arrhythmias in professional football athletes

medRxiv
Sudden cardiac death risk is 2-3-fold higher in athletes than in non-athletes. We classify sports-related cardiac arrhythmias using a novel explainability framework comprising data analysis, model interpretability, post-hoc visualisation, and systema... read more 

Can Machine Learning Algorithms use Contextual Factors to Detect Unwarranted Clinical Variation from Electronic Health Record Encounter Data during the Treatment of Children Diagnosed with Acute Viral Pharyngitis

medRxiv
Rationale, Aims and Objectives: Unwarranted clinical variation (UCV) in patient care often arises from contextual factors and contributes to increased costs, unnecessary treatments, and deviations from evidence-based practice. Detecting UCV is challe... read more 

A clinical decision making model for NTSV deliveries

medRxiv
Objective: To evaluate modifiable antepartum and intrapartum factors associated with nulliparous, term, singleton, vertex (NTSV) cesarean delivery and to model risk stratified induction timing strategies that minimize cesarean risk across maternal ri... read more