Artificial Intelligence Medical Compendium

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

Showing 81 to 90 of 199,772 articles

Automatic Speech Recognition and Phonetics-Informed Sentence Design for Spastic Dysarthria Detection and Corticobulbar Lesion Localization

medRxiv Jun 3, 2026
Spastic dysarthria diagnosis through subjective neurologist auditory-perceptual assessment remains standard practice despite known inaccuracy. To address this gap, we developed an objective framework grounded in phonetic evidence that spastic dysarth... read more 
neurology

MyoPath: A Deep Learning Pipeline for Objective Morphometric Assessment of Skeletal Muscle Biopsies

medRxiv Jun 3, 2026
Histopathological evaluation of skeletal muscle biopsies relies on subjective, semi-quantitative assessment with no standardized grading system. We developed a four-tissue deep learning segmentation pipeline using Cellpose-SAM for myofiber instance s... read more 
radiology and imaging

Automated assessment of neonatal internal capsule maturation on T2-weighted MRI across 7T and 3T

medRxiv Jun 3, 2026
Motivation: Quantitative assessment of neonatal internal capsule (IC) maturation remains largely reliant on qual- itative visual evaluation, limiting objectivity and scalability. Approach: We developed a fully automated 3D deep learning framework for... read more 
radiology and imaging

Simple cumulative weighting of routine surveillance data identifies epidemic wave origins more accurately than a large language model: evidence from eight COVID-19 waves in Japan

medRxiv Jun 3, 2026
Identifying the origin of an emerging epidemic wave within days of onset could enable targeted response before national spread, yet current methods rely on genomic sequencing that lags clinical detection by 2-4 weeks. We analysed daily COVID-19 cases... read more 
public and global health

Leveraging Digitization, Archiving and Artificial Intelligence to Re-examine Predictors of Sustained Mental Health Care Engagement in Ugandan First-Episode Psychosis Patients: A Study Protocol

medRxiv Jun 3, 2026
Background: We previously examined the burden and predictors of sustained mental health care engagement in Ugandan first episode psychosis patients by retrospective chart review methods. However, the extensive requirements of chart reviews meant that... read more 
psychiatry and clinical psychology

Interpretable machine learning for coeliac disease diagnosis: quantitative morphometry of duodenal biopsies

medRxiv Jun 3, 2026
Background Coeliac disease affects approximately 1% of the global population and remains substantially underdiagnosed. Histopathological assessment of duodenal biopsies is the diagnostic gold standard but is subject to approximately 20% inter-observe... read more 
pathology

Audited large language model triage for systematic review screening in national clinical guideline production: validation and prospective deployment

medRxiv Jun 3, 2026
Title and abstract screening limit the timeliness of systematic reviews used for clinical guidelines. We evaluated audited large language model (LLM) triage at Sweden's National Board of Health and Welfare. Ten LLMs from five model families were test... read more 
health informatics

Comfort with AI for HIV Prevention Among Cisgender Women in New York City

medRxiv Jun 3, 2026
Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. However, PrEP impact depends on addressing persistent gaps in awareness, access, and use. Artificial intelligence (AI) tools, including conversational a... read more 
health informatics

Health behavior risk prediction in metabolic syndrome patients: development and validation of an interpretable machine learning model via multisource heterogeneous data integration.

BMC medical informatics and decision making Jun 3, 2026
BACKGROUND: Metabolic syndrome (MetS) represents a major public health challenge in rural populations, particularly in resource-limited regions such as southern Xinjiang, China. Unhealthy behaviors serve as key modifiable drivers of MetS progression;... read more 

Agentic Authoring of OMOP Concept Sets from Natural Language

medRxiv Jun 3, 2026
Authoring OMOP concept sets from free-text descriptions remains a major bottleneck in scalable computable phenotyping for observational research. Existing tools support parts of this workflow but are designed primarily for interactive expert use rath... read more 
health informatics
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