Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 17,661 to 17,670 of 214,033 articles

Integrative multi-omics analysis identifies a core ferroptosis signature and validates resveratrol as a novel inducer in pancreatic cancer.

Naunyn-Schmiedeberg's archives of pharmacology
Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis due to treatment resistance and an immunosuppressive, fibrotic microenvironment. Ferroptosis, a novel form of regulated cell death, offers a promising therapeutic strategy. Transcriptomic... read more 

Hidden Preoperative Lower-Extremity Venous Thrombosis in Pelvic Organ Prolapse Surgery: Prevalence and Development of a Clinical Prediction Model.

International urogynecology journal
INTRODUCTION AND HYPOTHESIS: Preoperative lower-extremity venous thrombosis (LEVT) is frequently overlooked in women undergoing pelvic organ prolapse (POP) surgery, despite its potential impact on perioperative outcomes. Conventional risk tools, incl... read more 

Aging beyond diagnosis: the MRI brain age gap across disorders.

GeroScience
The brain age gap (BAG), the difference between magnetic resonance imaging-predicted brain age and chronological age, is a proposed marker of neurobiological aging, yet its transdiagnostic significance remains uncertain. This meta-analysis evaluated ... read more 

Comparative study on the efficacy of large language models (LLMs) in health management for patients with urological and andrological diseases: a multidimensional quality evaluation and applicability analysis.

World journal of urology
PURPOSE: This study aims to evaluate the efficacy of large language models (LLMs) in health management for urological and andrological conditions by comparing two Chinese LLMs: DeepSeek and Kimi. METHODS: The responses of DeepSeek and Kimi to 30 ques... read more 

Coronary stenosis assessment: AI-based CT quantification, visual analysis of invasive angiography, and quantitative coronary angiography.

Insights into imaging
OBJECTIVE: To evaluate the diagnostic performance for coronary stenosis of artificial intelligence (AI)-based CT quantification, manual CT quantification, and visual invasive coronary angiography (ICA) assessment against quantitative coronary angiogr... read more 

An interpretable PET/CT-based radiomic-clinical model for predicting bone marrow involvement in follicular lymphoma: comparison of pelvic and spine-pelvis VOI frameworks.

European journal of nuclear medicine and molecular imaging
PURPOSE: To investigate the feasibility of non-invasively identifying bone marrow involvement (BMI) in follicular lymphoma (FL) using baseline 18F-FDG PET/CT combined with multidimensional feature fusion, and to compare the impact of different bone m... read more 

Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy.

Journal of molecular neuroscience : MN
Multiple system atrophy (MSA) is a fatal neurodegenerative disorder lacking effective diagnostic tools. While protein palmitoylation is crucial for neuronal function, its specific role in MSA pathogenesis remains unexplored. We integrated bulk and si... read more 

Breaking glycolysis: allosteric hotspots for multi-target drug repurposing.

Journal of computer-aided molecular design
Glycolysis is essential for cellular energy production, making its enzymes attractive antimicrobial targets. Traditional strategies targeting conserved catalytic sites risk host toxicity due to limited species specificity. Allosteric sites-spatially ... read more 

Humanized-Intelligent-Green Chemistry (hiGC) Paradigm: Advancing Beyond Traditional Green Chemistry Illustrated by Ionic Liquids and Deep Eutectic Solvents.

Chemistry (Weinheim an der Bergstrasse, Germany)
Ionic liquids (ILs) and deep eutectic solvents (DESs) are two types of innovative green solvents that significantly enhance the development of green chemistry. The 12 principles proposed by Anastas et al. in 1998 have guided the advancement of green ... read more