Bard Versus the 2022 American Society of Plastic Surgeons In-Service Examination: Performance on the Examination in its Intern Year

Author:

Najafali Daniel1ORCID,Reiche Erik2,Araya Sthefano3,Camacho Justin M4ORCID,Liu Farrah C5,Johnstone Thomas5,Patel Sameer A3,Morrison Shane D6,Dorafshar Amir H7ORCID,Fox Paige M5

Affiliation:

1. Carle Illinois College of Medicine, University of Illinois Urbana-Champaign , Urbana, IL , USA

2. Division of Plastic Surgery, Brigham and Women’s Hospital, Harvard Medical School , Boston, MA , USA

3. Fox Chase Cancer Center, Temple University Division of Plastic and Reconstructive Surgery , Philadelphia, PA , USA

4. Drexel University College of Medicine , Philadelphia, PA , USA

5. Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine , Stanford, CA , USA

6. Division of Plastic and Reconstructive Surgery, University of Washington at Harborview Medical Center , Seattle, WA , USA

7. Division of Plastic and Reconstructive Surgery, Rush University Medical Center , Chicago, IL , USA

Abstract

Abstract Background Bard is a conversational generative artificial intelligence (AI) platform released by Google (Mountain View, CA) to the public in May 2023. Objectives This study investigates the performance of Bard on the American Society of Plastic Surgeons (ASPS) In-Service Examination to compare it to residents’ performance nationally. We hypothesized that Bard would perform best on the comprehensive and core surgical principles portions of the examination. Methods Google’s 2023 Bard was used to answer questions from the 2022 ASPS In-Service Examination. Each question was asked as written with the stem and multiple-choice options. The 2022 ASPS Norm Table was utilized to compare Bard’s performance to subgroups of plastic surgery residents. Results A total of 231 questions were included. Bard answered 143 questions correctly corresponding to an accuracy of 62%. The highest-performing section was the comprehensive portion (73%). When compared to integrated residents nationally, Bard scored in the 74th percentile for post-graduate year (PGY)-1, 34th percentile for PGY-2, 20th percentile for PGY-3, 8th percentile for PGY-4, 1st percentile for PGY-5, and 2nd percentile for PGY-6. Conclusions Bard outperformed more than half of first-year integrated residents (74th percentile). Its best sections were the comprehensive and core surgical principles portions of the examination. Further analysis of the chatbot’s incorrect questions might help improve the overall quality of the examination’s questions.

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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