{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13(11)"],"submitter":["Ardila CM"],"pubmed_abstract":["<h4>Background/objectives</h4>Artificial intelligence (AI) is entering dental curricula, yet its educational value in endodontics remains unclear. This review synthesized student-based evidence on AI in endodontics, primarily comparing AI vs. students on diagnostic tasks as an educational endpoint and secondarily considering assessment tasks relevant to training.<h4>Methods</h4>PubMed/MEDLINE, Embase, Scopus, and Web of Science were searched in July 2025. Eligible studies involved dental students using AI in endodontic tasks or applied AI to student-generated outputs. For diagnostic comparisons we performed random-effects meta-analysis and a complementary Bayesian random-effects model with weakly informative priors. Risk of bias used QUADAS-2; certainty used GRADE.<h4>Results</h4>Five stud"],"journal":["Dentistry journal"],"pagination":["489"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12650973"],"repository":["biostudies-literature"],"pubmed_title":["Artificial Intelligence in Endodontic Education: A Systematic Review with Frequentist and Bayesian Meta-Analysis of Student-Based Evidence."],"pmcid":["PMC12650973"],"pubmed_authors":["Pineda-Velez E","Vivares-Builes AM","Ardila CM"],"additional_accession":[]},"is_claimable":false,"name":"Artificial Intelligence in Endodontic Education: A Systematic Review with Frequentist and Bayesian Meta-Analysis of Student-Based Evidence.","description":"<h4>Background/objectives</h4>Artificial intelligence (AI) is entering dental curricula, yet its educational value in endodontics remains unclear. This review synthesized student-based evidence on AI in endodontics, primarily comparing AI vs. students on diagnostic tasks as an educational endpoint and secondarily considering assessment tasks relevant to training.<h4>Methods</h4>PubMed/MEDLINE, Embase, Scopus, and Web of Science were searched in July 2025. Eligible studies involved dental students using AI in endodontic tasks or applied AI to student-generated outputs. For diagnostic comparisons we performed random-effects meta-analysis and a complementary Bayesian random-effects model with weakly informative priors. Risk of bias used QUADAS-2; certainty used GRADE.<h4>Results</h4>Five stud","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Oct","modification":"2026-05-19T03:17:19.919Z","creation":"2026-05-19T03:11:30.039Z"},"accession":"S-EPMC12650973","cross_references":{"pubmed":["41294470"],"doi":["10.3390/dj13110489"]}}