Artificial Intelligence Medical Compendium

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

Showing 7,361 to 7,370 of 206,272 articles

Advances in Clinical Imaging and AI Integration for Dry Eye Diagnosis.

The American journal of pathology
Dry eye disease (DED) is a prevalent multifactorial chronic disorder of the ocular surface, characterized by a loss of tear film homeostasis and accompanied by ocular symptoms such as dryness, fatigue, and visual impairment. The complex pathophysiolo... read more 

Machine Learning-Based Prediction of Treatment Success, Postoperative Pain, and Analgesic Use After Full Pulpotomy in Permanent Molars with Symptomatic Irreversible Pulpitis.

Journal of endodontics
INTRODUCTION: This study aimed to develop and evaluate machine learning (ML) models for predicting treatment success, postoperative pain, and analgesic use following full pulpotomy (FP) in permanent molars with symptomatic irreversible pulpitis (SIP)... read more 

Artificial Intelligence Chatbots' Performance on Dental Trauma Case-based Queries: Examining the Effect of Prompt and Content Engineering.

Journal of endodontics
INTRODUCTION: Traumatic dental injuries (TDIs) require prompt and accurate guidance, yet little is known about how the prompting influences the quality of artificial intelligence (AI) chatbot responses in these situations METHODS: Four dental trauma ... read more 

Metabolic interactions of host-gut microbiota: Shaping the future of precision diagnosis and therapeutic discovery in gastrointestinal cancers.

Pharmacological research
This collection of reviews and research articles highlights the diagnostic and therapeutic potential of gut microbial metabolites across various gastrointestinal cancers, including but not limited to hepatobiliary and pancreatic cancers, gastric canc... read more 

A Multidimensional Integrated Strategy for Identifying Anti-thrombotic Quality Markers(Q-Markers) in Taohong Siwu Decoction through Combined Analysis of Chemical Profiling, Bioactivity, and Pharmacodynamic Efficacy.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Taohong Siwu Decoction (TSD), originating from the Qing Dynasty medical text Gynecology Ice Mirror, is a representative formula for treating blood stasis syndrome, with the effects of promoting blood circulation, nouri... read more 

Integration of network pharmacology, deep learning, and molecular biology reveals the efficacy of Citrus aurantium L. var. amara Engl. blossom extract in ameliorating diabetic osteoporosis.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Diabetic osteoporosis (DOP) is a type of metabolic bone disease. Blossom of Citrus aurantium L. var. amara Engl. (CAVA), a medicinal and edible herb widely employed in China which can alleviate indigestion and replenis... read more 

Two-stage deep learning networks for diagnosing and staging membranous glomerulonephritis from electron microscopy images.

Laboratory investigation; a journal of technical methods and pathology
PURPOSE: The purpose of this study was to use transmission electron miscroscopy images to develop a deep-learning-based artificial intelligence model to detect and stage membranous glomerulonephritis, a major cause of nephrotic syndrome in adults. MA... read more 

Intrabony extensions for interim prosthesis positioning in immediate complete-arch loading: A dental technique.

Journal of prosthodontics : official journal of the American College of Prosthodontists
The purpose of this article is to describe a technique to improve interim prosthesis positioning during immediate complete-arch implant-supported prosthesis, reducing intraoperative adjustments and positioning errors. The protocol relies on an artifi... read more 

Deep learning uncovers conserved regulatory logic and element dosage underlying stable gene expression in grasses.

Molecular plant
Gene expression programs are widely conserved across grasses despite rapid evolutionary turnover of cis-regulatory element (CRE) sequences, yet the mechanisms maintaining expression stability remain unclear. Here, we generated chromatin accessibility... read more 

Shift-Specific Patterns of Nursing Workloads in the Emergency Department: AI Powered Analysis.

Journal of advanced nursing
AIM: To identify and differentiate workload patterns across shifts and to provide evidence for optimizing nursing workforce allocation in emergency departments: DESIGN: A cross-sectional study. METHODS: Real time data were collected from an emergency... read more