• Saumil J Patel, Andrew P Notarianni, Archer Kilbourne Martin, Albert Tsai, Danielle A Pulton, Regina E Linganna, Sai Bhatte, Mario Montealegre-Gallegos, Bhoumesh Patel, Nathan H Waldron, Sindhuja R Nimma, Perin Kothari, Larissa Kiwakyou, Sean M Baskin, and Jared W Feinman.
• Department of Anesthesiology and Critical Care, Perelman School of Medicine, Philadelphia, PA.
• J. Cardiothorac. Vasc. Anesth. 2024 Dec 1; 38 (12): 290629142906-2914.

AbstractThis special article is the third in an annual series of the Journal of Cardiothoracic and Vascular Anesthesia that highlights significant literature from the world of graduate medical education published over the past year. Major themes addressed in this review include the potential uses and pitfalls of artificial intelligence in graduate medical education, trainee well-being and the rise of unionized house staff, the effect of gender and race/ethnicity on residency application and attrition rates, and the adoption of novel technologies in medical simulation and education. The authors thank the editorial board for again allowing us to draw attention to some of the more interesting work published in the field of graduate medical education during 2023. We hope that the readers find these highlights thought-provoking and informative as we all strive to successfully educate the next generation of anesthesiologists.Copyright © 2024 Elsevier Inc. All rights reserved.

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