11 results for “Meta AI”
Prior artificial intelligence (AI) studies have been limited to binary classification frameworks without Gartland subtype differentiation, and no diagnostic test accuracy meta-analysis specific to supracondylar fractures exists. This study
systematically searched PubMed/MEDLINE and Embase (January 2000-October 2025) for studies developing or validating AI… Meta-analysis of 19 studies with 100,790 participants found AI/ML models achieved pooled discrimination
this study was to perform a systematic review and meta-analysis to evaluate the diagnostic performance of AI-based diagnostic performance of AI-associated chol… AI-based machine learning applied
Objective We systematically evaluated the diagnostic performance of artificial intelligence (AI)-assisted interpretation versus independent
fundus images achieved a summary sensitivity of 85.0% and AUC of 0.870 in meta-analysis. AI-driven diabetic retinopathy screening using ultra-widefield fundus images showed limited specificity
pooled specificity and AUC than clinicians in a 110-study meta-analysis. In prostate cancer and MRI subgroups, AI models showed lower sensitivity than clinicians, indicating inconsistent advantage across tasks
followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidance. PubMed/MEDLINE, Web of S… Systematic review found AI and machine learning may improve mortality prediction after road
BACKGROUND: The integration of artificial intelligence in healthcare has transformed clinical practice and research methodologies
Accurately predicting operative difficulty in laparoscopic cholecystectomy (LC) is foundational to personalized surgical planning and
Background: Osteogenesis imperfecta (OI) is a rare genetic disorder characterized by bone fragility and recurrent
To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models
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