Artificial Intelligence Medical Compendium

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

Showing 39,701 to 39,710 of 223,737 articles

Public attitudes toward sharing health data for artificial intelligence: Differences by data type and sector in the Health in Central Denmark cohort

medRxiv Mar 22, 2026
Aims We aimed to examine public perceptions of sharing various types of health data relevant for AI development, including electronic health records, audio recordings of consultations, medical images, and genetic information, with actors from either ... read more 
epidemiology

The Effects of AI-Guided Exercise and a Smart Ring on Arterial Stiffness (GONDOR-AS): protocol for a randomized controlled trial

medRxiv Mar 22, 2026
Background: Cardiovascular disease (CVD) prevention is limited by the major challenge of low long-term adherence to effective lifestyle regimens. Arterial stiffness (measured by carotid-femoral pulse wave velocity, cfPWV) and maximal cardiorespirator... read more 
sports medicine

Conditioning Public Opinion Perceptions by "Survey Methods 101": Informing, Engaging, and Motivating Individuals for Critical Processing of Public Opinion Polls.

Public opinion quarterly Mar 22, 2026
Can we train individuals on survey methods to boost their critical processing of public opinion evidence? While polls are one of the most systematic and scientific methods for measuring and communicating public opinion, they face credibility challeng... read more 

Beyond the conventional: Artificial intelligence in identifying risk factors in sports injuries. A scoping review.

International journal of medical informatics Mar 22, 2026
PURPOSE: To map contemporary uses of artificial intelligence (AI) to identify conventional and unconventional risk factors for sports injuries in athletes. METHODS: Following Joanna Briggs Institute guidance and PRISMA-ScR, we conducted an open-acces... read more 

The role of artificial intelligence in virtual emergency care: a systematic review.

International journal of medical informatics Mar 22, 2026
BACKGROUND: The integration of artificial intelligence (AI) into virtual emergency care represents a potentially transformative approach to healthcare delivery, yet the evidence base remains poorly characterized. This systematic review comprehensivel... read more 

Digital twin technologies for supporting self-care in adults with diet-related chronic conditions: a systematic review.

International journal of medical informatics Mar 22, 2026
BACKGROUND: Diet-related chronic conditions are major contributors to global morbidity and mortality. Effective management of these conditions requires consistent engagement in self-care behaviours such as healthy eating, physical activity, and medic... read more 

Hybrid physics-informed machine learning and nanobiosensing strategies for precision liver cancer diagnostics.

Computational biology and chemistry Mar 22, 2026
Liver cancer, particularly hepatocellular carcinoma (HCC), is a significant global health concern due to its asymptomatic early stages, biological diversity, and frequent late diagnoses that hinder effective treatment and survival rates. Traditional ... read more 

Bipartite and H∞ bipartite synchronization for multiweighted coupled fractional-order delayed reaction-diffusion neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 22, 2026
In this paper, two types of multiweighted coupled fractional-order delayed reaction-diffusion neural networks (MCFDRNN) with and without external disturbances under signed graph are introduced, which generalize the existing coupled fractional-order r... read more 

BCMDA: Bidirectional correlation maps domain adaptation for mixed domain semi-supervised medical image segmentation.

Neural networks : the official journal of the International Neural Network Society Mar 22, 2026
In mixed domain semi-supervised medical image segmentation (MiDSS), achieving superior performance under domain shift and limited annotations is challenging. This scenario presents two primary issues: (1) distributional differences between labeled an... read more 

Machine learning-based prediction of drug lactation risk: Bridging molecular features and breastfeeding safety.

European journal of medicinal chemistry Mar 22, 2026
BACKGROUND: Breastfeeding medication safety assessment presents critical challenges due to limited clinical evidence and ethical constraints on lactation studies. While existing computational models focus on predicting pharmacokinetic surrogates such... read more 
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