Artificial Intelligence Medical Compendium

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

Showing 1,951 to 1,960 of 235,116 articles

Machine learning in comparative effective research of pharmacological interventions: a scoping review.

Expert review of pharmacoeconomics & outcomes research
INTRODUCTION: Machine learning (ML) is rapidly transforming the evaluation of the comparative effectiveness research (CER) of pharmacological interventions. It offers an attractive data-driven alternative to traditional statistical causal inference m... read more 

Artificial intelligence and disability in the workplace: A systematic review of ethical issues.

Work (Reading, Mass.)
BackgroundThe use of artificial intelligence (AI) in workplace disability contexts is expanding, raising important ethical concerns. Existing frameworks, such as the OECD Framework for the Classification of AI Systems, provide structure for understan... read more 

Teleassistance and Artificial Intelligence to Support Prehospital Triage by Emergency Nurses: A Scoping Review.

Journal of emergency nursing
INTRODUCTION: To map and critically synthesize international evidence on the use of teleassistance and artificial intelligence to support emergency nurses in prehospital triage. BACKGROUND: Digital transformation and artificial intelligence are resha... read more 

Predicting Measles Vaccination Defaulting in Uganda and Kenya: Comparative Evaluation of Custom Soft Voting and TabNet Stacked Ensemble Architectures.

JMIR AI
BACKGROUND: Measles is a major cause of death among infants despite free routine immunization (RI) in low- and middle-income countries (LMICs). Vaccination defaulting contributes to measles outbreak occurrences. Conventional immunization defaulter id... read more 

Prevalence and predictors of silent vertebral compression fractures using DXA: a UK Biobank Imaging Study.

European radiology
OBJECTIVES: Silent vertebral fractures are common but under-recognised. We aimed to estimate the prevalence in an asymptomatic population and to identify demographic and clinical predictors using the UK Biobank data. MATERIALS AND METHODS: DXA spine ... read more 

Evolution of minimally invasive surgery (MIS) techniques in forefoot deformity corrections.

International orthopaedics
PURPOSE: To review the historical evolution and technical progression of minimally invasive surgery (MIS) in forefoot deformity corrections, tracing its development from early medical concepts and general surgery milestones to modern, highly speciali... read more 

Machine learning-assisted monitoring of radiofrequency ablation in hepatic tumors using spectral traces.

Abdominal radiology (New York)
PURPOSE: Accurate intraoperative assessment of radiofrequency ablation (RFA) margins in hepatic malignancies remains a significant clinical challenge. METHODS: This study investigates the efficacy of hyperspectral imaging (HSI) for objective, spatial... read more 

Limited incremental value and cross-cohort transferability of CT radiomics for survival prediction after TACE in hepatocellular carcinoma.

Abdominal radiology (New York)
PURPOSE: To evaluate whether pretreatment CT radiomics adds information for overall survival (OS) prediction among patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE), and assess frozen imaging-model perfo... read more