Artificial Intelligence Medical Compendium

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

Showing 6,741 to 6,750 of 205,891 articles

Integrated Workflow Finite Element Modeling of the Temporomandibular Joint: Toward a Methodical and Reproducible Approach.

Journal of biomechanical engineering Jun 1, 2026
This study presents a patient-specific parametric model of the temporomandibular joint, designed to be semi-automated, and reproducible for multiple patients. The numerical model is used to evaluate mandibular stress distribution under different inte... read more 

A benchmarking of genomic selection models for predicting grain-yield related traits using haplotype-based and genome-wide association study-based markers in rice.

The plant genome Jun 1, 2026
Rice (Oryza sativa) is an important staple food, feeding more than half of the global population. A feasible improvement of rice yield is necessary to meet the ever-growing food demands. Genomic selection (GS), as an advanced breeding technique, enab... read more 

Relationship Extraction for Adverse Drug Events in Clinical Notes Using Large Language Models

medRxiv Jun 1, 2026
Background: Adverse drug events (ADEs) are a critical indicator of patient safety but are often documented only in free-text clinical notes. The potential of recent advances in natural language processing (NLP), particularly generative large language... read more 
health informatics

Algorithmic Versus Expert Rankings of Large Language Models in Peritoneal Dialysis Prescription Review: A Trap-Embedded Synthetic Benchmark

medRxiv Jun 1, 2026
Background: Clinical LLM benchmarks rarely test whether algorithmic rankings agree with expert clinical judgment. We developed a trap-embedded peritoneal dialysis (PD) benchmark comparing multiple scoring constructs with blinded nephrologist ratings.... read more 
nephrology

Developing and Evaluating Deep Learning Approaches for Visual Field Denoising in Glaucoma

medRxiv Jun 1, 2026
Purpose To investigate the relative efficacy of nine distinct visual field (VF) denoising artificial intelligence (AI) methods and a pathology-aware AI strategy to discourage over-correction of glaucomatous defects. Design Retrospective study. Partic... read more 
ophthalmology

Stigmatizing Language Detection in Opioid Use Disorder Patient-Directed Discharge Clinical Documentation: A Privacy-Preserving Analysis Using a Locally Deployed Large Language Model

medRxiv Jun 1, 2026
Objective: Stigmatizing language in the electronic health record (EHR) has been associated with adverse patient experience in substance use disorder care, including opioid use disorder (OUD). This study evaluated a privacy-preserving, locally-deploye... read more 
health informatics

Sensitive Glioma Detection and Recurrence Monitoring Using a Machine Learning Model Based on Circulating Monocytes

medRxiv Jun 1, 2026
Background: Non-invasive diagnosis, reliable recurrence surveillance remain critical unmet needs in gliomas. Glioma induces profound systemic immune alterations despite its anatomical confinement to the central nervous system. Circulating immune cell... read more 
oncology

Multi-Agent AI for Chest Radiography: A Sequential Segmentation and LLM-Driven Consultative Tool for Medical Training

medRxiv Jun 1, 2026
Background: Traditional diagnostic models lack explainability, while multimodal language models prone to hallucination remain unsafe for medical education. An interactive, risk-free artificial intelligence framework is required to serve as a reliable... read more 
health informatics

SeGA-GNN: Semantically Gated Augmented Graph Neural Networks for Wearable-Based Emotion Detection

medRxiv Jun 1, 2026
Background: Wearable technologies enable scalable and continuous monitoring of emotional states through passive sensing of physiological and behavioral signals. However, conventional learning approaches often struggle to model the complex temporal, c... read more 
health informatics

Operationalizing Eight-Dimensional Patient-Safety Risk Scoring at Scale: A Multi-Model Large Language Model Reliability Study

medRxiv Jun 1, 2026
Background: Hospital incident risk scoring has long relied on two- or three-dimensional frameworks (Severity Assessment Codes or Risk Priority Numbers),even though root cause analysis standards recognize that clinical risk is multi-factorial. The obs... read more 
health informatics
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