Artificial Intelligence Medical Compendium

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

Showing 46,791 to 46,800 of 224,199 articles

Facial Expression-Based Evaluation of the Emotion Estimation Software Kokoro Sensor in Healthy Individuals: Validation and Reliability Pilot Study.

JMIR AI Feb 26, 2026
BACKGROUND: In recent years, artificial intelligence (AI) systems have increasingly been used to assess emotional states in health care. AI offers a safe, quick, user-friendly, and objective emotional evaluation method. However, evidence supporting i... read more 

Retrieval-Augmented Generation for Medical Question Answering on a Heart Failure Dataset: Performance Analysis.

JMIR formative research Feb 26, 2026
BACKGROUND: The integration of retrieval-augmented generation (RAG) systems into the domain of medical question-answering (QA) presents a significant opportunity to enhance the effectiveness and accuracy of clinical support systems. OBJECTIVE: This s... read more 

Using AI in Forward-Backward Translation of Questionnaires for Men Invited to Prostate Cancer Screening: Methodological Study.

JMIR formative research Feb 26, 2026
BACKGROUND: Translation is important in research to ensure cultural relevance, accuracy, and generalizability, particularly in cross-cultural studies. The forward-backward translation method of the World Health Organization (WHO) is commonly used to ... read more 

Effects of a Semantically Irrelevant Virtual Reality Experience on Memory and Emotion After Watching a Traumatic Event: Randomized Controlled Experimental Study.

JMIR formative research Feb 26, 2026
BACKGROUND: First responders, such as firefighters, experience significant mental health issues due to the high-stress nature of their work. Existing mental health interventions, such as meditation and debriefing, despite their benefits, do not targe... read more 

Vision transformer model-based dose prediction and beam angle optimization for BNCT.

Physics in medicine and biology Feb 26, 2026
OBJECTIVE: A good BNCT treatment plan, which can deliver higher tumor dose and lower doses to organs at risk, critically depends on the accuracy of dose prediction and optimization strategy. Existing clinical Treatment Planning Systems (TPS) mainly u... read more 

Current Status and Future Perspective for Bladder Cancer MR Imaging and the Vesical Imaging-Reporting and Data System (VI-RADS) in Japan: Challenges and Solutions.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Feb 26, 2026
Bladder cancer carries one of the highest lifetime costs among malignancies, and accurate distinction between non-muscle-invasive and muscle-invasive disease is essential for appropriate treatment selection. Multiparametric MRI (mpMRI) and the Vesica... read more 

Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study.

Scientific reports Feb 26, 2026
Current gastric cancer (GCa) risk systems are prone to errors since they evaluate a visual estimation of intestinal metaplasia percentages in histopathology images of gastric mucosa to assign a risk. This study presents an automated method to detect ... read more 

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations.

Scientific data Feb 26, 2026
Electrocardiograms (ECGs) are essential for diagnosing arrhythmias, myocardial ischemia, and conduction disorders. While machine learning has achieved expert-level performance in ECG interpretation, the development of clinically deployable multimodal... read more 

CystoDS: a multiclass endoscopy image dataset for artificial intelligence-assisted bladder cancer detection.

Scientific data Feb 26, 2026
Cystoscopy is a common endoscopic procedure used for the visual inspection of the lower urinary tract, particularly for the detection and surveillance of bladder cancer. Artificial intelligence (AI) strategies could help address the recognized shortc... read more 

A dual attention transformer modelling for explainable mental health analysis in academic environments using TaBERT.

Scientific reports Feb 26, 2026
Mental health plays a crucial role in shaping students' academic performance and practical outcomes, yet traditional analytical methods often fall short in capturing the complex, multifactorial nature of psychological well-being. In recent years, the... read more 
Popular Topics
Recent Journals