Objectives (Educational Content) :
1. Illustrate common pitfalls in the development and deployment of medical AI. 2. Understand the importance of user training and education in the effective use of medical AI. 3. Discuss strategies for mitigating risks associated with medical AI.
Target Audience:
General pediatricians, family physicians, nurse practitioners, physician assistants, social workers, psychologists, and nurses.
Identified Gap:
As we continue to utilize AI in clinical practice, we need to ensure strategies for all providers to be able to utilize this new tool while recognizing and mitigating its potential pitfalls and errors while also providing quality patient care.
Estimated Time to Complete the Educational Activity:
1 hour(s)
Expiration Date for CE/CME Credit:
02-06-2026
Method of Participation in the Learning Process:
The learner will view the presentation, successfully complete a post-test and complete an activity evaluation.
Evaluation Methods:
All learners must successfully complete a post-test, as well as an activity evaluation, to claim CE/CME credit.
Disclosure:
The following presenter has indicated that there are no financial relationship with any ineligible companies. Yaa Kumah-Crystal, MD. The following planning committee member has indicated that a financial relationship with an ineligible company: All relationships have been mitigated. The remaining planning committee/CME committee members have indicated that they have no financial relationships with any ineligible companies.
Accreditation Statement:
Akron Children’s Hospital is accredited by the Ohio State Medical Association to provide continuing medical education for physicians.
Akron Children’s Hospital designates this enduring material activity for a maximum of 1.0 AMA PRA Category 1 Credit TM. Physicians should only claim the credit commensurate with the extent of their participation in the activity.
Bibliography:
1. Xie, Y., Wu, J., Tu, H., Yang, S., Zhao, B., Zong, Y., Jin, Q., Xie, C., & Zhou, Y. (2024). A preliminary study of o1 in medicine: Are we closer to an AI doctor. arXiv preprint arXiv:2409.15277.
2. Kumah-Crystal Y, Mankowitz S, Embi P, Lehmann CU. ChatGPT and the clinical informatics board examination: the end of unproctored maintenance of certification? J Am Med Inform Assoc. 2023 Aug 18;30(9):1558-1560. doi: 10.1093/jamia/ocad104. PMID: 37335851; PMCID: PMC10436139.
3. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30, 5998-6008. https://doi.org/10.48550/arXiv.1706.03762
