Artificial Intelligence Medical Compendium

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

Showing 14,551 to 14,560 of 211,815 articles

Screening and diagnosis of combustion smoking with exhaled breath analysis via proton transfer reaction time-of-flight mass spectrometry.

BMC pulmonary medicine
BACKGROUND: Tobacco smoking is a leading cause for lung cancer, even for non-smokers. Assessing exposure, particularly to passive or secondhand smoke, is challenging due to reliance on self-reporting and the invasiveness of traditional biomarker test... read more 

An evidence-based nursing management app prototype for adult urology day surgery: an AI-driven development pathway.

BMC nursing
OBJECTIVES: The nursing management of adult urology patients in day surgical settings has undergone rapid development. This study aimed to (1) retrieve, evaluate, and summarize the best available evidence regarding the perioperative nursing managemen... read more 

A hybrid deep learning framework for accurate breast cancer classification using MRI images.

BMC medical informatics and decision making
Early and accurate detection of breast cancer is crucial to enhance patient results, especially in high-risk populations where magnetic resonance imaging (MRI) is intensively used. This study shows a deep learning-based framework for the automatic cl... read more 

Real-time interaction with artificial intelligence and its association with learning experience and academic performance among undergraduate nursing students in Peshawar: an analytical cross-sectional study.

BMC medical education
BACKGROUND: Artificial intelligence (AI) has been widely incorporated in the education domain for offering adaptive learning, personalized feedback and engagement to students. These technologies may help increase students learning experiences, as wel... read more 

Dynamic Bayesian networks to predict loss of kidney function: a cross-institution use case in a large cohort with or at-risk of CKD.

BMC medical informatics and decision making
BACKGROUND: Substantial loss of kidney function, measured as ≥40% decline in estimated glomerular filtration rate (eGFR) within a 2-year period, is associated with a tenfold increase in the risk for kidney failure. METHODS: We developed and externall... read more 

Changes in artificial intelligence literacy, attitudes, and acceptance following ChatGPT-based training among midwifery students.

BMC medical education
BACKGROUND: The increasing role of artificial intelligence technologies in health education and clinical practice makes understanding the knowledge, attitudes, and readiness levels of future healthcare professionals in this field increasingly importa... read more 

Research on biomarkers screening for urinary tract infection and the prediction model based on machine learning algorithms.

BMC medical informatics and decision making
BACKGROUND: Urinary tract infections (UTIs) affect over 1.5 billion people annually, yet systematic screening of cytokine combinations as biomarkers remains limited. This study aims to analyze clinical data with the aid of machine learning algorithms... read more 

Development and validation of an MRI-based deep learning system for triple-class ER expression classification in breast cancer: a large-scale multicenter study.

BMC medicine
BACKGROUND: Estrogen receptor (ER) expression is a key prognostic and predictive marker in breast cancer. The 2020 ASCO/CAP guidelines classify tumors with ≥ 1% ER-positive nuclei as ER-positive, yet ER-low positive (1%-10%) breast cancer remains bio... read more 

Association between oxidative balance score and cardiometabolic multimorbidity: differential mortality, mediation mechanisms, and machine learning insights.

Journal of translational medicine
BACKGROUND: Cardiometabolic multimorbidity (CMM) is a major global health burden associated with increased morbidity and mortality. The oxidative balance score (OBS), a composite measure of dietary and lifestyle factors related to oxidative balance, ... read more 

Single-cell analysis reveals that NRG1/3-ERBB4 signaling affects metabolic reprogramming and immune escape in Wilms tumor.

Biology direct
BACKGROUND: Wilms tumor presents a heterogeneous tumor microenvironment. This study aimed to characterize the tumor microenvironment and identify prognostic genes to improve therapeutic strategies. METHODS: We integrated single-cell RNA sequencing an... read more