AI Medical Compendium

An explainable machine learning method for identifying key atherogenic lipid biomarkers in abdominal obesity among the Southern Chinese population.

Lipids in health and disease Jun 4, 2026

BACKGROUND: Abdominal obesity (AO) significantly contributes to cardiometabolic diseases and poses an increasing public health challenge. Composite lipid-derived indices have been proposed as simple indicators of atherogenic dyslipidemia, but their r... read more

An integrated machine learning framework for TCM five-flavor classification based on E-tongue profiling and SHAP analysis.

Chinese medicine Jun 4, 2026

BACKGROUND: The "five-flavor" (wu wei) classification is a core organizing principle in Traditional Chinese Medicine (TCM) pharmacology and quality control, yet its assessment still relies on subjective organoleptic evaluation, limiting standardizati... read more

Mediating effects of artificial intelligence readiness and self-efficacy on innovative behavior in Chinese standardized training nurses: a structural equation model study.

BMC nursing Jun 4, 2026

BACKGROUND: Innovative behavior is crucial for enhancing clinical efficiency, promoting patient recovery, and advancing the nursing discipline. As an emerging group within the nursing workforce, standardized training nurses represent a key cohort for... read more

Exploring students' emotional experiences and responses to AI tutors and their limitations in higher education: a Self-Determination Theory (SDT) perspective.

BMC psychology Jun 4, 2026

BACKGROUND: A growing body of research underscores the role of artificial intelligence (AI) technologies in second language (L2) education. However, the emotional side of adopting AI tutors in the English as a foreign language (EFL) context has recei... read more

An interpretable machine learning model for preoperative risk stratification in paediatric congenital heart disease surgery: a retrospective cohort study.

Journal of cardiothoracic surgery Jun 4, 2026

BACKGROUND: Congenital heart disease (CHD), one of the most common birth defects, poses challenges to preoperative risk stratification due to its anatomical complexity and developmental vulnerability. Existing tools inadequately predict critical outc... read more

Benchmarking reveals the superiority of nucleic acid foundation models in predicting lncRNA coding potential.

Genome biology Jun 4, 2026

BACKGROUND: A subset of long noncoding RNAs (lncRNAs) contains short open reading frames and can encode functional micropeptides. However, identifying these coding lncRNAs (codlncRNAs) remains challenging due to weak coding signals, short peptide pro... read more

AI in esophageal cancer: advances, barriers to clinical translation, and perspectives for digital health.

Journal of translational medicine Jun 4, 2026

BACKGROUND: Esophageal cancer (EC) remains one of the leading causes of cancer-related mortality worldwide. Accurate staging, treatment planning, and prognostic assessment are essential for improving clinical management and patient outcomes. In recen... read more

SR-FSL: Sample reconstruction enhanced few-shot learning for real-time motor unit identification from surface electromyogram.

Journal of neuroengineering and rehabilitation Jun 4, 2026

BACKGROUND: Deep learning (DL) methods have demonstrated promising performance in online motor unit (MU) identification from high-density surface electromyogram (HD-sEMG). However, its dependency on larger amounts of data limits practicability. METHO... read more

Stem cell research and regenerative medicine: meeting report from the Royan International Stem Cell Congress 2025.

Journal of biological engineering Jun 4, 2026

The 21st Royan International Stem Cell Congress (3-5 September 2025, Tehran, Iran) convened the global stem cell community to assess the accelerating translation of regenerative medicine from bench to bedside. Over three days, 10 thematic sessions, s... read more

A systemic immune signature stratifies early-stage breast cancer patients and reveals soluble IL-2RA and PD-1 as potential independent prognostic biomarkers.

Breast cancer research : BCR Jun 4, 2026

BACKGROUND: Breast cancer (BC) is the most common cancer in women and the leading cause of cancer-related death worldwide. Systemic immune dysregulation is increasingly recognized as a critical component of BC pathophysiology. Therefore, the characte... read more

Artificial Intelligence Medical Compendium