Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 210,314 articles

Technology-enabled telerehabilitation for Parkinson's disease: a scoping review of digital rehabilitation systems, delivery architectures, and implementation challenges.

Journal of neuroengineering and rehabilitation
INTRODUCTION: Digital technologies are increasingly integrated into neurorehabilitation programs for Parkinson's Disease (PD), enabling remote delivery of therapy, continuous monitoring of motor performance, and adaptive feedback during rehabilitatio... read more 

White Matter Perivascular Space Burden in Children With Autism Spectrum Disorder and Typically Developing Controls: An Automated Quantitative MRI Study.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Perivascular spaces (PVS) are compartments involved in brain waste clearance. PVS are commonly observed in typically developing (TD) children; however, their burden in autism spectrum disorder (ASD) remains unclear. PURPOSE: To investigat... read more 

A cross-sectional evaluation of Large Language Model answers to dental questions.

BMC oral health
BACKGROUND: Patients increasingly turn to the Internet and, more recently, to Large Language Models (LLMs) to seek answers to dental questions. However, the safety of LLM-generated dental advice for patients has not been systematically assessed. METH... read more 

[Chinese guideline for the diagnosis and treatment of hospital-acquired pneumonia and ventilator-associated pneumonia in adults (2026 edition): protocol].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis and Treatment of Hospital-Acquired Pneumonia and Ventilator-Associated Pneumonia in Adults (2026 Edition). Since the publication of the previous editi... read more 

Letter to the editor "A hybrid machine learning approach to identify potential green cover area for bio-physical suitability mapping in the western semi-arid Rarh region of West Bengal, Purulia" by Ali et al. 2026, Environmental Monitoring and Assessment, 198,571.

Environmental monitoring and assessment
This letter brings to the attention of the Editorial Board several serious methodological and analytical concerns regarding the hybrid machine learning study published by Manna and Rani (2026) in Environmental Monitoring and Assessment. Our review id... read more 

Skyer: a novel benchmark for evaluating the effectiveness of large language models in emergency department triage.

CJEM
OBJECTIVES: Emergency department (ED) overcrowding causes diagnostic challenges, prolonged wait times, and impairs appropriate triage, often due to human error and fatigue. Large language models can assist ED staff in triage, improving patient care b... read more 

Additive effects of heat and volatile organic compounds co-exposure on metabolic syndrome: evidence from petrochemical workers in China.

International archives of occupational and environmental health
OBJECTIVE: To investigate the independent and joint associations of heat and volatile organic compounds (VOCs) exposure with metabolic syndrome (MetS) among petrochemical workers. METHODS: A cross-sectional study was conducted among 1140 petrochemica... read more 

Integrated deep learning and multi-scale modeling for the discovery of pan-genotypic HCV NS5B polymerase inhibitors.

Molecular diversity
Chronic Hepatitis C Virus (HCV) infection remains a significant global health challenge, necessitating the development of pan-genotypic inhibitors to overcome the limitations of genotype-specific therapies. The NS5B RNA-dependent RNA polymerase, part... read more 

Response to Letter to the Editor: Impact of 1024-Matrix Size on Perforating Artery Visualization in Cerebral CTA Using a 64-Slice CT Scanner.

Journal of medical radiation sciences
This response addresses a Letter to the Editor commenting on our article on 1024-matrix reconstruction for perforating artery visualisation in cerebral CTA using a 64-slice CT scanner (https://doi.org/10.1002/jmrs.70055). It acknowledges that integra... read more 

A Foundation Model for Generalisable Detection of Maxillary Sinus Abnormalities: A Multicentre and Clinical Applicability Study.

Journal of oral rehabilitation
OBJECTIVES: Maxillary sinus abnormalities reduce quality of life and can be life-threatening. However, traditional supervised deep learning models for their detection are constrained by class-specific training, reliance on large-scale labelled datase... read more