Artificial Intelligence Medical Compendium

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

Showing 25,701 to 25,710 of 217,759 articles

Comparing Perceptions of ChatGPT Use in Health Attitude Contexts Among Users and Nonusers: Cross-Sectional Study.

JMIR formative research Apr 27, 2026
BACKGROUND: In light of the growing use of artificial intelligence (AI) in health care, individuals' access to and use of health information are transforming. ChatGPT, an AI chatbot, provides immediate responses to health queries, with the potential ... read more 

Increased Pre-Activation and Co-Contraction in ACL-Reconstructed Athletes: Insights from AI-based EMG Analysis.

Medicine and science in sports and exercise Apr 27, 2026
INTRODUCTION: Anterior Cruciate Ligament (ACL) tears disrupt the neural structures within the ligament, impairing the neuromuscular control of knee-stabilizing muscles. Consequently, muscle activity patterns are a crucial area of research in return-t... read more 

Integrating AI Into Governmental Public Health Decision Making: Challenges, Considerations, and a Path Forward.

JMIR public health and surveillance Apr 27, 2026
Public health emergencies such as pandemics, natural disasters, and epidemics may require rapid, high-stakes decisions often made by elected officials with limited public health training. Artificial intelligence (AI) holds significant promise to enha... read more 

Unsupervised Semantic Segmentation Models for Region of Interest Identification.

Journal of the American Society for Mass Spectrometry Apr 27, 2026
Spatial omics technologies, such as mass spectrometry imaging (MSI), can capture biomolecular distributions and their spatial locations directly from a tissue, but these distributions are not easily associated with tissue morphology without additiona... read more 

Integration of Continuous Glucose Monitoring With HbA1c to Improve the Detection of Prediabetes in Asian Individuals: Model Development Study.

JMIR diabetes Apr 27, 2026
BACKGROUND: Glycated hemoglobin (HbA1c) is a convenient tool to evaluate glycemic status but its ability to detect individuals at risk for type 2 diabetes is limited. OBJECTIVE: Exploiting the glycemic variability captured in continuous glucose monit... read more 

Automated Eosinophil Quantification Using Deep Learning to Predict Therapy Escalation in Pediatric Ulcerative Colitis.

Clinical and translational gastroenterology Apr 27, 2026
BACKGROUND: Emerging evidence implicates eosinophils as important modulators of disease activity and therapeutic response in ulcerative colitis. Automated image analysis provides a scalable and reproducible approach to their evaluation, overcoming th... read more 

Designing a children's health exposomics study protocol: The CHILDREN_FIRST multi-country prospective cohort using multi-omics and personalized prevention approaches.

PloS one Apr 27, 2026
Non-communicable diseases (NCDs) account for ~71% of all deaths globally, including 15 million premature deaths each year (deaths between 30-69 years of age). Instead of waiting until disease manifestation, focusing on the origins of NCDs during chil... read more 

MedSpectralNet: A lightweight convolutional neural network architecture for multi-modal image classification.

PloS one Apr 27, 2026
Medical image classification requires models that effectively capture both fine-grained local patterns and global anatomical structures while maintaining computational efficiency for clinical deployment. Although state-of-the-art models such as MedMa... read more 

A frame of wideband wireless signal recognition and parameter extraction based on semantic segmentation.

PloS one Apr 27, 2026
With the rapid development of wireless communication technologies, spectrum resources are becoming increasingly scarce, and spectrum monitoring technologies targeting control and interference suppression impose higher requirements on the real-time pe... read more 

One model to rule them all: Unification of voltage-gated potassium channel models via deep non-linear mixed effects modelling.

PLoS computational biology Apr 27, 2026
Ion channels are essential for signal processing and propagation in neural cells. Voltage-gated ion channels permeable to potassium (Kv) form one of the most prominent channel families. Techniques used to model the voltage-dependent gating of Kv chan... read more 
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