Artificial Intelligence Medical Compendium

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

Showing 28,911 to 28,920 of 219,647 articles

Decoding the renal-cochlear axis: explainable machine learning and phenotype clustering reveal high-risk hearing loss subtypes in CKD.

Renal failure
This study develops a dual-level machine learning framework for risk stratification and phenotyping of hearing loss (HL) in patients with chronic kidney disease (CKD) using data from the National Health and Nutrition Examination Survey (NHANES). From... read more 

Explainable machine learning using urinary metabolomics to predict pediatric sepsis-associated acute kidney injury: a two-center prospective observational study.

Renal failure
Sepsis-induced acute kidney injury (S-AKI) is a common and serious complication in critically ill children with a poor prognosis, and its early and accurate prediction remains challenging due to the lack of reliable biomarkers. Urinary small-molecule... read more 

Performance and reliability of large language models on the European Board of Hand Surgery examination: a multi-model evaluation study.

The Journal of hand surgery, European volume
INTRODUCTION: Artificial intelligence (AI) has demonstrated transformative potential in medical education and assessment, with large language models achieving competitive results across multiple high-stakes examinations. In this study, we evaluated t... read more 

Dental Provider Experiences with AI Radiograph Annotation: A Qualitative Case Study.

JDR clinical and translational research
INTRODUCTION: The use of artificial intelligence (AI) tools to aid in dental diagnosis, treatment planning, and education is rapidly growing in oral health care. One type of artificial intelligence (AI) tool is radiographic annotation software that i... read more 

A covariate aware and dual convolutional network model for stadium crowd flow prediction.

Scientific reports
Campus physical activities and sports facility utilization exhibit significant temporal fluctuations, which directly impact the efficiency of teaching resource allocation and the effectiveness of student physical exercise. During peak hours, overcrow... read more 

Enhancing multi-component alloy composition prediction based on generative adversarial networks and proximal policy optimization.

Scientific reports
This article belongs to the cross fusion of material genomics engineering and artificial intelligence. In response to the challenges of data scarcity and high experimental costs faced by traditional alloy design methods in complex composition systems... read more 

Unlocking the mind: brain mapping for the exploratory quest of functional and cognitive networks in awake neurosurgery.

Neurosurgical review
This retrospective study investigated the efficacy of intraoperative brain stimulation in 18 awake patients undergoing resection of intracranial lesions. The goal was to maximize resection while preserving cognitive function. We analyzed 91 stimulati... read more