{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11"],"submitter":["Ebihara H"],"pubmed_abstract":["<h4>Background</h4>At the beginning of their clinical clerkships (CCs), medical students face multiple challenges related to acquiring clinical and communication skills, building professional relationships, and managing psychological stress. While mentoring and structured feedback are known to provide critical support, existing systems may not offer sufficient and timely guidance owing to the faculty's limited availability. Generative artificial intelligence, particularly large language models, offers new opportunities to support medical education by providing context-sensitive responses.<h4>Objective</h4>This study aimed to develop a generative artificial intelligence CC mentor (AI-CCM) based on ChatGPT and evaluate its effectiveness in supporting medical students' clinical learning, addr"],"journal":["JMIR medical education"],"pagination":["e76702"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12447005"],"repository":["biostudies-literature"],"pubmed_title":["Development of a Clinical Clerkship Mentor Using Generative AI and Evaluation of Its Effectiveness in a Medical Student Trial Compared to Student Mentors: 2-Part Comparative Study."],"pmcid":["PMC12447005"],"pubmed_authors":["Kimura Y","Tajima H","Shikino K","Kasai H","Ebihara H","Ito S","Shimizu I"],"additional_accession":[]},"is_claimable":false,"name":"Development of a Clinical Clerkship Mentor Using Generative AI and Evaluation of Its Effectiveness in a Medical Student Trial Compared to Student Mentors: 2-Part Comparative Study.","description":"<h4>Background</h4>At the beginning of their clinical clerkships (CCs), medical students face multiple challenges related to acquiring clinical and communication skills, building professional relationships, and managing psychological stress. While mentoring and structured feedback are known to provide critical support, existing systems may not offer sufficient and timely guidance owing to the faculty's limited availability. Generative artificial intelligence, particularly large language models, offers new opportunities to support medical education by providing context-sensitive responses.<h4>Objective</h4>This study aimed to develop a generative artificial intelligence CC mentor (AI-CCM) based on ChatGPT and evaluate its effectiveness in supporting medical students' clinical learning, addr","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Sep","modification":"2026-06-03T14:59:06.696Z","creation":"2026-04-28T03:11:13.02Z"},"accession":"S-EPMC12447005","cross_references":{"pubmed":["40907969"],"doi":["10.2196/76702"]}}