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Artificial intelligence in medicine - dermatology compared to other medical specialties in FDA-cleared software as medical device
Journal article   Open access   Peer reviewed

Artificial intelligence in medicine - dermatology compared to other medical specialties in FDA-cleared software as medical device

Nahid Y Vidal, Kirk Sidey, Yong-Hun Kim and David E Vidal
Dermatology online journal, Vol.29(2), 2
01/01/2023
DOI: 10.5070/D329260766
url
https://doi.org/10.5070/D329260766View
Published (Version of record) Open Access

Abstract

Artificial intelligence (AI) and machine learning (ML) have occupied the center stage in healthcare as research groups and institutions investigate their capabilities and risks. Dermatology is often cited as one of the medical specialties most ripe for disruption with AI technology due to the heavy incorporation of visual information into clinical decisions and treatments. Although the literature on AI in dermatology is rapidly growing, there has been a noticeable absence of mature AI solutions utilized by dermatology departments or patients. This commentary provides insight into the regulatory challenges facing AI solutions for the specialty of dermatology and the unique considerations that should be factored into AI development and deployment.
Dermatology Machine Learning artificial intelligence FDA regulation medical device

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