REVIEW ARTICLE
Year : 2020 | Volume
: 11 | Issue : 6 | Page : 881--889
Artificial intelligence in dermatology: A practical introduction to a paradigm shift
Bell R Eapen
Information Systems, McMaster University, Hamilton, ON, Canada
Correspondence Address:
Bell R Eapen
DSB-A211, McMaster University, 1280 Main St W, Hamilton, ON L8S 4L8
Canada
Artificial Intelligence (AI) has surpassed dermatologists in skin cancer detection, but dermatology still lags behind radiology in its broader adoption. Building and using AI applications are becoming increasingly accessible. However, complex use cases may still require specialized expertise for design and deployment. AI has many applications in dermatology ranging from fundamental research, diagnostics, therapeutics, and cosmetic dermatology. The lack of standardization of images and privacy concerns are the foremost challenges stifling AI adoption. Dermatologists have a significant role to play in standardized data collection, curating data for machine learning, clinically validating AI solutions, and ultimately adopting this paradigm shift that is changing the way we practice.
How to cite this article:
Eapen BR. Artificial intelligence in dermatology: A practical introduction to a paradigm shift.Indian Dermatol Online J 2020;11:881-889
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How to cite this URL:
Eapen BR. Artificial intelligence in dermatology: A practical introduction to a paradigm shift. Indian Dermatol Online J [serial online] 2020 [cited 2021 Jan 27 ];11:881-889
Available from: https://www.idoj.in/article.asp?issn=2229-5178;year=2020;volume=11;issue=6;spage=881;epage=889;aulast=Eapen;type=0 |
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