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The Current State & Sentiment of Artificial Intelligence in North American Anesthesiology Residency Programs

Elliott, T. V.; Goldstein, J. C.; Goldstein, H. V.

2024-04-06 anesthesia
10.1101/2024.04.05.24305392 medRxiv
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PurposeThis study aims to investigate the current state and sentiment of artificial intelligence (AI) training in North American anesthesiology residency programs, assessing existing AI education landscapes, identifying barriers to implementation, and understanding program directors expectations for AIs impact on the field. MethodsA cross-sectional survey targeted anesthesiology program directors across North America. The survey, conducted anonymously via Qualtrics, gauged their AI training offerings, sentiments towards AIs influence, and familiarity with AI educational policies. Information on questionnaire development, administration, and data analysis was included. ResultsOf the 163 programs surveyed, 32 responded, yielding a response rate of 19.6%. A substantial 81% of responding program directors reported no current AI training. Despite this, 67% anticipate AIs transformative impact. Only 19% currently offer AI/ML training. Standardized presentation of results with accompanying numerators and denominators were employed. ConclusionThe findings reveal a significant gap between the recognition of AIs importance and the current offering of training in anesthesiology residency programs. Barriers to implementation include resource constraints and time limitations, exacerbated by the pandemic. Overcoming these barriers and aligning positive sentiments with educational offerings is crucial for preparing future physicians for the AI-driven healthcare landscape. Implication StatementThis study exposes a substantial gap between the positive anticipation of AIs impact on anesthesiology and the current lack of training in North American residency programs. Recognizing this disparity is crucial for swiftly implementing comprehensive AI education, ensuring future anesthesiologists navigate healthcares evolving landscape adeptly. DisclosuresThe authors have no competing interests or financial interests to disclose. There was no funding associated with the completion of this study.

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