AI Medical Compendium

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

Improving the Identification of Muscular Dystrophies From Their Mimickers Based on MRI Muscle Texture Features Combined With Clinical Biomarkers.

NMR in biomedicine Jun 1, 2026

MRI can detect the most significant pathological changes of muscle-fat replacement and muscle edema in muscular dystrophies. MRI-derived texture analysis is superior to conventional MRI for identifying pathological changes in muscular dystrophies. Fu... read more

Professional Ethics in Dietetics: A Global Document Analysis of Codes of Ethics and Conduct.

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association Jun 1, 2026

BACKGROUND: As dietitians actively engage in sectors beyond healthcare, practitioners are expected to uphold ethical standards that reflect both individual conduct and the profession's social identity. The growing influence of digital technologies, s... read more

Artificial Intelligence in Intensive Care Nursing: Signal Amplification and Epistemic Blind Spots.

Nursing & health sciences Jun 1, 2026

Machine learning-based risk warning for adolescents' prosocial behavior.

Applied psychology. Health and well-being Jun 1, 2026

Prosocial behavior plays a positive role in promoting adolescents' mental health and behavioral performance. Guided in ecological systems theory and social cognitive theory, this study used machine learning to identify the risk factors of adolescents... read more

Comparing Accuracy of Cylindrical and Tapered Implants Using Autonomous Robotic System: A Randomized Controlled Trial.

Clinical implant dentistry and related research Jun 1, 2026

OBJECTIVES: This study aimed to systematically evaluate the effect of implant shape (cylindrical versus tapered implant) on the accuracy of placement using an autonomous robotic system in patients with single-tooth loss. MATERIALS AND METHODS: Forty ... read more

Artificial Intelligence Medical Compendium