{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T21:07:02Z","timestamp":1788901622555,"version":"build-2803163510"},"reference-count":13,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Med Inform"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Ambient AI technologies, commonly known as AI scribes, are transforming clinical practice by autonomously capturing patient-provider conversations and structuring them into clinical notes. Short-term studies suggest that ambient AI can significantly reduce documentation time and improve job satisfaction. However, as health care systems accelerate the adoption of these tools, the medical education community must seek to answer unresolved questions regarding their full impact on learners. The inevitable integration of ambient AI in teaching hospitals presents both transformative opportunities and significant challenges for medical education. This viewpoint discusses the potential benefits and risks of ambient AI in both undergraduate and graduate medical education and considers its impact on learning and clinical skills acquisition. Robust research studies are urgently needed to navigate this new frontier and ensure that the integration of ambient AI in the clinical learning environment ultimately enriches, rather than diminishes, the practice of medicine.<\/jats:p>","DOI":"10.2196\/88725","type":"journal-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T17:10:06Z","timestamp":1786641006000},"page":"e88725-e88725","source":"Crossref","is-referenced-by-count":0,"title":["The Promise of Ambient AI Technology in Medical Education: Opportunities and Guardrails"],"prefix":"10.2196","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5166-0274","authenticated-orcid":false,"given":"Shirin","family":"Shafazand","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2953-3468","authenticated-orcid":false,"given":"Umar","family":"Bowers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1094-5836","authenticated-orcid":false,"given":"Sudha","family":"Jayaraman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,9,8]]},"reference":[{"key":"R1","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2025.1628831","article-title":"Impact of artificial intelligence on electronic health record-related burnouts among healthcare professionals: systematic review","volume":"13","author":"Sarraf","journal-title":"Front Public Health"},{"issue":"4","key":"R2","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.1055\/a-2597-2017","article-title":"Clinical implementation of artificial intelligence scribes in health care: a systematic review","volume":"16","author":"Hassan","journal-title":"Appl Clin Inform"},{"issue":"3","key":"R3","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2025.1904","article-title":"Physician perspectives on ambient AI scribes","volume":"8","author":"Shah","journal-title":"JAMA Netw Open"},{"issue":"4","key":"R4","doi-asserted-by":"publisher","DOI":"10.1093\/jamiaopen\/ooae130","article-title":"Decoding disparities: evaluating automatic speech recognition system performance in transcribing Black and White patient verbal communication with nurses in home healthcare","volume":"7","author":"Zolnoori","journal-title":"JAMIA Open"},{"issue":"1","key":"R5","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-025-03061-0","article-title":"Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review","volume":"25","author":"Ng","journal-title":"BMC Med Inform Decis Mak"},{"issue":"10","key":"R6","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2025.34982","article-title":"The ambient AI scribe revolution-early gains and open questions","volume":"8","author":"Shah","journal-title":"JAMA Netw Open"},{"issue":"9","key":"R7","doi-asserted-by":"publisher","DOI":"10.1056\/aidbp2401267","article-title":"A novel playbook for pragmatic trial operations to monitor and evaluate ambient artificial intelligence in clinical practice","volume":"2","author":"Afshar","journal-title":"NEJM AI"},{"issue":"1","key":"R8","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-025-01895-6","article-title":"Beyond human ears: navigating the uncharted risks of AI scribes in clinical practice","volume":"8","author":"Topaz","journal-title":"NPJ Digit Med"},{"issue":"5","key":"R9","doi-asserted-by":"publisher","first-page":"1459","DOI":"10.1007\/s11606-025-09932-6","article-title":"Noteworthy - 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