Artificial Intelligence Medical Compendium

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

Showing 24,741 to 24,750 of 217,472 articles

Evaluation of AI Chatbot Responses to a Standardized Patient Query on Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease: Cross-Sectional Content Analysis.

JMIR medical informatics Apr 29, 2026
BACKGROUND: Large language model-based chatbots are increasingly used by the public to access medical information. Although these tools can improve access and convenience, their quality, clarity, and transparency remain uncertain for rare and diagnos... read more 

Implementing Artificial Intelligence in Radiology: Design Thinking Road Map.

JMIR AI Apr 29, 2026
Despite its promising potential to transform medical care, particularly in the field of medical images, the integration of artificial intelligence (AI) into clinical practice remains a complex and multifaceted challenge. In real-world settings, AI to... read more 

Errors in AI-Transformed Patient-Centered Mental Health Documentation Written by Psychiatrists: Qualitative Pre-Post Study.

JMIR mental health Apr 29, 2026
BACKGROUND: Patients' digital access to their personal health data is becoming increasingly common worldwide. However, medical documentation often contains technical language and sensitive information, which can lead to potential misunderstandings an... read more 

Predicting Individual Water Intake in Beef Cattle Using Longitudinal Data and Long Short-Term Memory Models.

Journal of animal science Apr 29, 2026
Water intake (WI) remains an under-characterized yet essential trait in beef cattle systems, with implications for animal health, climate resilience, and resource efficiency. Existing predictive models, including those from the National Academies of ... read more 

Image-Based Deep Learning for Cataract Diagnosis: Systematic Review and Meta-Analysis.

Journal of medical Internet research Apr 29, 2026
BACKGROUND: Cataracts are an eye condition characterized by high prevalence and blindness-inducing potential, and effective approaches are required for their early diagnosis, underscoring the clinical significance of this study. OBJECTIVE: This study... read more 

Random Survival Forest Versus Elastic-Net Regularized Cox Regression for Survival Prediction in Acute Myeloid Leukemia at Distinct Treatment Time Points: Model Performance Comparison Study.

JMIR bioinformatics and biotechnology Apr 29, 2026
BACKGROUND: Risk group stratification based on the prediction of survival of patients with acute myeloid leukemia (AML) is complex. Despite common risk group categorization guidelines, the overall prognosis remains poor. Machine learning techniques h... read more 

Detection of Interpretable and Fine-Grained Brain Tumor Magnetic Resonance Imaging Based on Progressive Pruning: Machine Learning Model Development and Validation Study.

JMIR medical informatics Apr 29, 2026
BACKGROUND: Brain tumor is one of the most malignant diseases of the central nervous system, and early accurate detection is of great significance for improving patient survival rate. However, the heterogeneity of brain tumors in terms of morphology,... read more 

Rapid Noninvasive Classification of Prostatic Disease Using Paper Spray Ionization Mass Spectrometry (PSI-MS)-Based Nontargeted Metabolomics.

Analytical chemistry Apr 29, 2026
Paper spray ionization mass spectrometry (PSI-MS)-based nontargeted metabolomics was employed to rapidly classify prostate health conditions using urine liquid biopsies. Urine samples from healthy volunteers and patients with benign prostatic hyperpl... read more 

Clinical AI is Not (Yet) Trustworthy-But It Could Be.

Journal of medical Internet research Apr 29, 2026
The growing emphasis on trustworthy artificial intelligence (AI) in health care reflects a shift away from models optimized for predictive performance toward governable and auditable systems that can be adopted and sustained in clinical practice. Non... read more 

Open-Source Large Language Models and AI Health Equity: A Health Service Triangle Model Perspective.

Journal of medical Internet research Apr 29, 2026
This study explores the role of open-source large language models (LLMs) in promoting artificial intelligence (AI) health equity from the perspective of the health service triangle model. First, it defines AI health, categorizes AI-supported decision... read more 
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