Training, use, and modifications related to artificial intelligence in postgraduate orthodontic programs in North America.

Am J Orthod Dentofacial Orthop

Department of Interdisciplinary Health Sciences, Arizona School of Health Sciences, A.T. Still University, Mesa, Ariz.

Published: January 2025

Introduction: The use of artificial intelligence (AI) is growing quickly and has already had a significant impact on the practice of orthodontics. This study aimed to explore the degree to which the study and use of AI have been integrated into accredited postgraduate orthodontic programs in North America.

Methods: An anonymous electronic survey was sent to each of North America's 74 orthodontic residency programs, requesting information from either the program director or department chair. Data were collected and analyzed using SPSS (version 28; IBM, Armonk, NY) and Excel (Microsoft, Redmond, Wash).

Results: Forty-one valid surveys were analyzed. Among the respondents, 56.1% had implemented or planned to implement AI instruction into their program. Among those who reported using this technology, 60.9% indicated that they have applied these principles for research purposes. Most respondents (87.8%) noted that they have not developed seminars and/or AI training to be included in their curriculum, whereas residents in 17.1% of respondent programs have advocated for these modifications. Lack of expertise and availability in the schedule (71.4%) are common challenges associated with the dearth of curriculum changes. Most programs (68.3%) encouraged their residents to attend continuing education for AI fundamentals, while 75.6% reported that they do not encourage their residents to use AI for patient care, research, or didactic assignments. Several programs (68.3%) reported not updating their academic manuals and syllabi with new AI policies, nor have they installed new AI detection software (80.5%).

Conclusions: More than half of orthodontic residencies have implemented AI into their program in some capacity. The continual advancements of AI algorithms will require modifications to orthodontic residency programs. AI-related education should be implemented into academic curricula to provide residents with the tools necessary to thrive in an AI-driven practice.

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Source
http://dx.doi.org/10.1016/j.ajodo.2024.09.008DOI Listing

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