AI Medical Compendium

Effectiveness of a generative AI-powered digital tutor integrated with a knowledge graph in anatomy education for nursing students: a randomized controlled trial.

BMC medical education May 22, 2026

BACKGROUND: Human Anatomy and Histology & Embryology are foundational courses in nursing education but are often challenging for students due to their complex spatial structures, dense knowledge points, and high cognitive load. Recent advances in gen... read more

The effect of artificial intelligence-assisted applications on the perception of nursing values and the mediating role of resilience.

BMC nursing May 22, 2026

BACKGROUND: Artificial İntelligence (AI)-assisted applications are becoming widespread in nursing practice and are creating a significant transformation in care processes. While this transformation may influence nurses' perceptions of professional va... read more

From interface to outcome: a 4I framework for AI-linked functionality in electronic health records.

BMC medical informatics and decision making May 22, 2026

BACKGROUND: Electronic health records (EHRs) are central to clinical documentation and care coordination, yet long-standing studies report persistent socio-technical problems such as poor usability, slow response, alert burden, interoperability gaps,... read more

Influencing factors and mediating effects of advanced medical care plan readiness in young and middle-aged patients with advanced cancer based on machine learning.

BMC palliative care May 22, 2026

OBJECTIVE: To examine the factors influencing advance care planning (ACP) readiness and its correlation with disease benefit perception and social support perception among young and middle-aged patients with advanced cancer, as well as to analyze the... read more

Age-related determinants of geriatric depression: an analysis of theory-driven and data-driven approaches.

BMC health services research May 22, 2026

BACKGROUND: Geriatric depression is a prevalent mental health condition whose risk profile may vary across age strata. This study examined whether depression risk and protective factors differ across age groups (65-74, 75-84, 85+) among community-dwe... read more

Application of AI-assisted PBL-CBL combined teaching in the diagnosis and treatment of post-herpetic neuralgia: a randomised controlled trial.

BMC medical education May 22, 2026

BACKGROUND: This study aimed to explore the efficacy of a teaching model integrating artificial intelligence-assisted problem-based learning (PBL) with case-based learning (CBL) in standardized clinical teaching of postherpetic neuralgia (PHN) for me... read more

The SUPREME Index for 30-day all-cause readmission: development and internal validation of a machine learning-based risk stratification index in community-dwelling adults.

BMC medical informatics and decision making May 22, 2026

BACKGROUND: Hospital readmissions are a key indicator of healthcare quality and have substantial implications for patient outcomes and system-level costs. Identifying individuals at high risk of experiencing 30-day all-cause readmission events is ess... read more

Early detection of gastric cancer with the assistance of cell-free DNA fragmentomics.

Clinical epigenetics May 22, 2026

BACKGROUND: Gastric cancer remains one of the most prevalent malignancies globally. As early-stage gastric cancer is typically asymptomatic or presents with non-specific symptoms, most patients are diagnosed at advanced stages, leading to poor surviv... read more

A Two-Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort.

Annals of clinical and translational neurology May 22, 2026

OBJECTIVE: Isolated rapid-eye-movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video-poly... read more

Explicit modeling of beam geometry improves three-dimensional dose prediction for esophageal cancer radiotherapy under heterogeneous beam configurations.

Radiation oncology (London, England) May 22, 2026

PURPOSE: Deep learning-based 3D dose prediction boosts radiotherapy planning efficiency and consistency, yet most models rely solely on anatomical data and assume homogeneous beam configurations, impairing their robustness in esophageal cancer intens... read more

Artificial Intelligence Medical Compendium