AI Medical Compendium

Quality of AI-generated temporomandibular disorder information: A comparative analysis based on Turkish patient queries.

Cranio : the journal of craniomandibular practice May 26, 2026

OBJECTIVE: This study aims to evaluate the accuracy and quality of responses generated by large language model-based chatbots to frequently asked questions related to temporomandibular disorders (TMD). METHODS: Ten questions were selected based on th... read more

Designing an Artificial Intelligence Transcription Tool to Support Multimodal Serious Illness Communication: Institutional Experience and Best Practices.

Journal of palliative medicine May 26, 2026

BACKGROUND: Communication during serious illness is often complex, emotionally charged, and cognitively demanding, particularly for patients and families with limited health literacy, sensory impairments, or language barriers. Existing communication ... read more

Wherever, Whenever, and However It Is Found: Atherosclerosis Is Informative.

Journal of the American College of Cardiology May 26, 2026

Data-driven prediction of micro-piled raft load-settlement using machine learning and Monte Carlo simulation.

Scientific reports May 26, 2026

This study investigates the load-settlement behavior of micro-piled raft foundations in clay, focusing on key factors such as raft and micro-pile geometry and critical soil properties. A comprehensive dataset comprising 480 experimental records. sour... 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

Artificial Intelligence Medical Compendium