When Artificial Intelligence Fails the Future: How Unchecked Artificial Intelligence Could Amplify Inequality in Medical Education.

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Bibliographic Details
Title: When Artificial Intelligence Fails the Future: How Unchecked Artificial Intelligence Could Amplify Inequality in Medical Education.
Authors: Allam O; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT., Ajjawi I; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT., Salib A; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT., Rancu AL; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT., Flores-Pérez P; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT., Kauke-Navarro M; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT., Diatta F; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT., Prsic A; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT., Butler PD; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT., Alperovich M; From the Division of Plastic & Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
Source: Plastic and reconstructive surgery. Global open [Plast Reconstr Surg Glob Open] 2026 Mar 24; Vol. 14 (3), pp. e7544. Date of Electronic Publication: 2026 Mar 24 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Wolters Kluwer Health/Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 101622231 Publication Model: eCollection Cited Medium: Print ISSN: 2169-7574 (Print) Linking ISSN: 21697574 NLM ISO Abbreviation: Plast Reconstr Surg Glob Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2169-7574
DOI:10.1097/GOX.0000000000007544