Artificial Intelligence Medical Compendium

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

Showing 6,651 to 6,660 of 205,745 articles

Explainability, Bias and Generalizability of AI Models in Dentistry: A Systematic Review of Model Interpretability and Equity.

Clinical and experimental dental research Jun 1, 2026
BACKGROUND: AI-based dentistry has advanced significantly in recent years. AI models like deep learning (DL) and machine learning (ML) have paved the way for new approaches to image diagnostics and early risk prediction, making patient treatment plan... read more 

LLM Chatbot Integration With Inventory Systems for Gastroenterology and Endoscopy Services: A Systematic Review.

Journal of evaluation in clinical practice Jun 1, 2026
BACKGROUND: Generally, gastroenterology and digestive endoscopy units commonly face constraints. It may be due to a lack of equipment, poor scheduling and inadequate inventory management. These issues not only affect patient throughput but also incre... read more 

Artificial intelligence and the problem of physician burnout: a double-edged scalpel.

World psychiatry : official journal of the World Psychiatric Association (WPA) Jun 1, 2026
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Child and adolescent psychiatry: challenges, solutions, opportunities, and future directions.

World psychiatry : official journal of the World Psychiatric Association (WPA) Jun 1, 2026
It is estimated that, globally, the mean point prevalence of diagnosable mental disorders in children and adolescents is higher than 11%, and around half of cases of major mental disorders have their onset before the age of 18. Mental disorders with ... read more 

A framework for clinical validation of generative artificial intelligence therapeutics.

World psychiatry : official journal of the World Psychiatric Association (WPA) Jun 1, 2026
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Mental Health Risk Detection From Social Media Text Data: A Scoping Review of the Machine Learning Research Landscape.

PsyCh journal Jun 1, 2026
Machine learning approaches have been increasingly applied to social media text data for mental health risk detection. However, existing studies vary widely in target outcomes, data sources, labeling strategies, and evaluation practices, and a struct... read more 

Literature Commentary June, 2026.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society Jun 1, 2026
In this issue, the following 4 articles are reviewed by Drs. Mark L. Moster and Deborah I. Friedman, most of which include authors who are members of NANOS:Pakeerathan T, Davis J, Henderson AD, et al. OCT-based differentiation of first acute optic ne... read more 

Metabolomic Machine Learning Predictor for Adequate and Deep Response to UDCA in Non-Cirrhotic PBC.

Liver international : official journal of the International Association for the Study of the Liver Jun 1, 2026
BACKGROUND: Primary biliary cholangitis (PBC) patients exhibit heterogeneous responses to ursodeoxycholic acid (UDCA), with partial responders remaining at significant risk of disease progression. Current prognostic tools lack metabolic insights nece... read more 

From Theory to Practice: Which Biomarkers Are Ready for Predicting Response in Advanced HCC?

Liver international : official journal of the International Association for the Study of the Liver Jun 1, 2026
Systemic therapies for advanced hepatocellular carcinoma (HCC) have expanded considerably with the advent of tyrosine kinase inhibitors, immune checkpoint inhibitors and immunotherapy-anti-angiogenic combinations. However, despite this therapeutic di... read more 

A Dual-Branch Cross-Attention Fusion Network for Multi-Subtype Lung Cancer Classification.

The international journal of medical robotics + computer assisted surgery : MRCAS Jun 1, 2026
BACKGROUND: Accurate lung cancer subtyping from CT images is essential for treatment planning. However, manual interpretation suffers from inter-observer variability across morphologically similar subtypes. METHODS: To overcome this limitation, we pr... read more 
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