Artificial Intelligence Training in Canadian Dermatology to Increase Dermatologists Engagement and Enhance Medical Practice

Abstract

Keywords

artificial intelligence dermatology residents dermatologists clinical practice digital health machine learning deep learning education eHealth medical curriculum

Get full access to this article

View all access options for this article.

References

Zakhem

GA.

Fakhoury

JW.

Motosko

CC.

. Characterizing the role of dermatologists in developing artificial intelligence for assessment of skin cancer. J Am Acad Dermatol. 2021;85(6):1544-1556.doi:10.1016/j.jaad.2020.01.028

31972254

Freeman

Dinnes

Chuchu

et al. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ. 2020;24:m127.doi:10.1136/bmj.m127

Lewinson

RT.

Vallerand

. The need for a national strategy on artificial intelligence in Canadian dermatology. J Cutan Med Surg. 2020;24(4):428-429.doi:10.1177/1203475420923648

32363930

Artificial intelligence (AI) and emerging digital technologies: The Royal College of Physicians and Surgeons of Canada. Accessed October 7, 2022. https://www.royalcollege.ca/rcsite/health-policy/initiatives/ai-task-force-e

Mydlarski

PR.

Parsons

LM.

Pierscianowski

et al. Dermatologic training and practice in Canada: an in-depth review [Formula: see text. J Cutan Med Surg. 2020;24(3):297-303.doi:10.1177/1203475420914619

32293201