AI Medical Compendium

Integrating single-cell multi-omics and machine learning to reveal triaptosis heterogeneity in clear cell renal cell carcinoma.

Human genomics May 7, 2026

Triaptosis, an emerging form of cell death, remains poorly characterized in terms of its heterogeneity within clear cell renal cell carcinoma (ccRCC). Utilizing single-cell transcriptomics, we delineate a landscape of triaptosis heterogeneity and ide... read more

Evaluation of large language models in cardiovascular surgery: a comparative study of board-level clinical question answering and generation.

Journal of cardiothoracic surgery May 7, 2026

BACKGROUND: Large language models (LLMs) are increasingly being explored in surgical training and clinical knowledge assessment. Although these models have demonstrated promising performance in standardized examinations, their performance in highly s... read more

Trust in AI: scale development and validation for online distance learners.

BMC psychology May 7, 2026

Trust in artificial intelligence (AI) has emerged as a critical factor influencing students' interactions with AI-supported learning environments. However, validated instruments for measuring student trust in AI within educational contexts remain lim... read more

Ultra-Wide-Field Noninvasive Imaging Through Scattering Media Via Physics-Guided Deep Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) May 7, 2026

Noninvasive imaging through scattering media is crucial for diverse applications but remains constrained by a narrow field of view (FOV). Although recent learning-based methods have a larger FOV, they often require large-scale real experimental datas... read more

GenAI-Supported Virtual Patients in Health Care Education: Systematic Review.

Journal of medical Internet research May 7, 2026

BACKGROUND: Generative artificial intelligence (GenAI) is enhancing virtual patient simulations in health care education by enabling dynamic, adaptive interactions, reshaping how clinical skills are taught. A synthesis of the current evidence is need... read more

Unraveling spatiotemporal dynamics of pine wilt disease via time-series UAV monitoring and deep learning.

Pest management science May 7, 2026

BACKGROUND: This study investigates the spatiotemporal dynamics of pine wilt disease (PWD) to inform data-driven management. We implemented a time-series monitoring framework in a township in Zhejiang Province, China, acquiring seven sequences of unm... read more

Effectiveness of Virtual Reality-Based Simulation Using the Nintendo Wii Balance Board for Assessing the Risk of Falls in Young and Older Adults.

Games for health journal May 7, 2026

INTRODUCTION: Falls severely affect older adults and are emerging as a global health and financial burden for public health care systems. Multiple studies have validated the use of virtual reality (VR) to prevent falls and reduce the risk of falls am... read more

Identification of sepsis subphenotypes: current methods and clinical implications in critical care practice. A structured narrative review.

Monaldi archives for chest disease = Archivio Monaldi per le malattie del torace May 7, 2026

Sepsis demonstrates high variability in clinical manifestations, and patients with similar manifestations at the moment of diagnosis usually develop in very different ways. Such differences are explained by the difference in the immune response and o... read more

Beyond Weight Loss: Obesogenic Memory as Biological Hysteresis in Adipose Tissue Revealed by AI Semantic Mapping With an Exportable Core Corpus.

Obesity reviews : an official journal of the International Association for the Study of Obesity May 7, 2026

BACKGROUND: Obesity is commonly viewed as a reversible condition primarily driven by excess body weight. Increasing evidence, however, suggests that adipose tissue may undergo persistent immunometabolic and structural alterations that do not fully re... read more

Assessing diagnostic performance of multimodal AI and human experts in oral and maxillofacial radiography: a comparative analysis of ChatGPT, Grok, and MANUS.

Annals of medicine May 7, 2026

BACKGROUND: Artificial intelligence (AI), particularly large language models (LLMs), is increasingly applied to radiographic interpretation in healthcare. In dentistry, radiographic imaging is essential for diagnosis and treatment planning, yet remai... read more

Artificial Intelligence Medical Compendium