{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T23:06:14Z","timestamp":1775516774192,"version":"3.50.1"},"reference-count":36,"publisher":"Georg Thieme Verlag KG","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clin Colon Rectal Surg"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Artificial intelligence (AI) is rapidly transforming surgical education. AI is defined by the characteristics of objectivity, live feedback, and adaptive learning environment and is well suited for mentor-led self-directed learning. AI can be used to teach cognitive, psychomotor, and nontechnical skills. With limited supportive data, the use of AI in surgical education should proceed with caution with careful study of the process and its outcomes until more data supporting its use are available.<\/jats:p>","DOI":"10.1055\/a-2769-0941","type":"journal-article","created":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:13:43Z","timestamp":1767226423000},"page":"174-177","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence and Skills Training in Resident Education"],"prefix":"10.1055","volume":"39","author":[{"given":"Grace J.","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Surgery, University of Michigan, Ann Arbor, Michigan, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2025,12,31]]},"reference":[{"issue":"03","key":"ref1","first-page":"135","article-title":"Self-directed learning theory to practice: a footstep towards the path of being a life-long 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