AI Medical Compendium

Artificial intelligence for endoscopic grading of gastric intestinal metaplasia: advancing risk stratification for gastric cancer.

Endoscopy Jul 17, 2025

BACKGROUND AND STUDY AIMS: Endoscopic Grading of Gastric Intestinal Metaplasia (EGGIM) correlates with histological assessment of GIM and enables stratification of risk to gastric cancer. We aimed at developing and evaluating an Artificial Intelligen... read more

Challenges and Opportunities in the Application of CRISPR-Cas9: A Review on Genomic Editing and Therapeutic Potentials.

Medical principles and practice : international journal of the Kuwait University, Health Science Centre Jul 17, 2025

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and the CRISPR-associated protein 9 (Cas9) constitute a revolutionary gene-editing technology, allowing precise DNA modifications with vast potential for disease treatment and the cre... read more

Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization.

Scientific reports Jul 17, 2025

Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenesis has not been fully elucidated. Toll-like receptors (TLRs) are crucial in LC progression. Here, we identified TLR-related genes, providing novel ins... read more

Humans Biomarkers Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks Computational Biology Liver Cirrhosis Signal Transduction Gene Expression Regulation Toll-Like Receptors

Landmark-free automatic digital twin registration in robot-assisted partial nephrectomy using a generic end-to-end model.

International journal of computer assisted radiology and surgery Jul 17, 2025

PURPOSE: Augmented Reality in Minimally Invasive Surgery has made tremendous progress in organs including the liver and the uterus. The core problem of Augmented Reality is registration, where a preoperative patient's geometric digital twin must be a... read more

Self-Disclosure and Social Support in a Web-Based Opioid Recovery Community: Machine Learning Analysis.

JMIR formative research Jul 17, 2025

BACKGROUND: The opioid crisis remains a critical public health challenge, with opioid use disorder (OUD) imposing significant societal and health care burdens. Web-based communities, such as the Reddit community r/OpiatesRecovery, provide an anonymou... read more

Humans Machine Learning Female Adult Male Social Support Social Media Internet Opioid-Related Disorders Self Disclosure

Effects of generative artificial intelligence (GenAI) patient simulation on perceived clinical competency among global nursing undergraduates: a cross-over randomised controlled trial.

BMC nursing Jul 17, 2025

BACKGROUND: This study compared scenario-based generative artificial intelligence (GenAI) patient simulation with immersive 360° virtual reality (VR) simulation in terms of perceived clinical competence, cultural awareness, AI readiness, and simulati... read more

Artificial intelligence in breast imaging: From theoretical promise to clinical mirage?

European radiology Jul 17, 2025

High-Entropy Materials: A New Paradigm in the Design of Advanced Batteries.

Nano-micro letters Jul 17, 2025

High-entropy materials (HEMs) have attracted considerable research attention in battery applications due to exceptional properties such as remarkable structural stability, enhanced ionic conductivity, superior mechanical strength, and outstanding cat... read more

Electrocardiographic sex index: a continuous representation of sex.

Biology of sex differences Jul 17, 2025

Clinical risk calculators consider sex as a binary variable. However, sex is a complex trait with anatomic, physiologic, and metabolic attributes that are not easily summarized in this manner [1]. We propose a continuous representation of sex, the EC... read more

Humans Neural Networks, Computer Artificial Intelligence Female Aged Male Middle Aged Cohort Studies Electrocardiography Heart Failure Sex Characteristics

Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning.