AI Medical Compendium

Assessing the trustworthiness of health guidelines recommendations: the Transparent, Rigorous, Usable, Standardised and Trustworthy Guide (TRUSTGUIDES) tools development.

Journal of clinical epidemiology May 26, 2026

BACKGROUND: Health guidelines play a central role in informing clinical practice, public health measures and health policy. But their trustworthiness may be undermined by factors such as insufficient methodological rigour, lack of transparency, confl... read more

Examining the impact of artificial intelligence on physicians' performance: mediating effects of innovative work behavior and skills enhancement.

Journal of health organization and management May 26, 2026

PURPOSE: While prior studies have explored artificial intelligence (AI) adoption in various sectors, the specific impact on employee performance in healthcare organizations remains underexamined, particularly regarding the mediating roles of innovati... read more

A dataset of 1.2 million molecules with DFT-level quantum chemical annotations for molecular representation learning.

Communications chemistry May 26, 2026

An informative molecular representation is prerequisite for the accurate prediction of molecular property by machine learning, but demands large-scale data enriched with detailed physicochemical information for its effective learning. Here, we introd... read more

CODE-II: a large-scale dataset for artificial intelligence in ECG analysis.

NPJ digital medicine May 26, 2026

Data-driven methods for electrocardiogram (ECG) interpretation are rapidly progressing. Large datasets have enabled advances in artificial intelligence (AI) based ECG analysis, yet limitations in annotation quality, size, and scope remain major chall... read more

Towards generalizable seizure monitoring: EpiVLM for cross-environment detection and classification.

NPJ digital medicine May 26, 2026

The translation of automated seizure detection from controlled clinical units to real-world settings is hindered by heterogeneous recording conditions and limited expert monitoring. We introduce EpiVLM, a multimodal vision-language system that combin... read more

Global evolution of robot-assisted cholecystectomy research in the era of artificial intelligence: a bibliometric and knowledge-mapping study.

Journal of robotic surgery May 26, 2026

OBJECTIVE: To systematically map the global evolution, collaborative networks, knowledge structure, and emerging research hotspots in robot-assisted cholecystectomy (RAC) using bibliometric and visualization techniques. METHODS: A comprehensive bibli... read more

Explainable machine learning-driven identification of heart failure biomarkers: a multi-model feature selection approach with SHAP-based interpretability.

Scientific reports May 26, 2026

Heart failure (HF) remains a major clinical challenge due to its complex pathophysiology and the limitations of existing biomarkers. In this study, we developed a robust machine learning (ML) framework to identify novel transcriptomic signatures of H... read more

Overdiagnosis in renal cancer: the hidden consequence of modern imaging.

International urology and nephrology May 26, 2026

The global burden of renal cell carcinoma (RCC) has risen substantially over the past three decades, while mortality rates have remained largely stable. This epidemiologic paradox suggests that a significant proportion of detected renal tumors may re... read more

Automated assessment of coronal lower extremity alignment on long-leg radiographs using a deep-learning model: validation, efficiency gains, and superiority of an edge-based tibial joint-line definition.

BMC musculoskeletal disorders May 26, 2026

PURPOSE: To develop, validate, and benchmark a fully automated deep learning (DL) system that simultaneously measures 15 coronal lower-limb alignment parameters on standing long-leg radiographs (LLRs) and localizes deformity, and to compare two tibia... read more

A visual analysis of the research dynamics of biomarkers for lung cancer screening.

Clinical epigenetics May 26, 2026

BACKGROUND: Non-invasive biomarkers offer potential to improve risk stratification and early diagnosis of lung cancer, complementing low-dose computed tomography (LDCT) screening. This study employed bibliometric analysis to identify global research ... read more

Artificial Intelligence Medical Compendium