Artificial Intelligence in Dermatology-Where We Are and the Way to the Future: A Review.

Clicks: 319
ID: 2180
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #4 of 91 articles by views in american journal of clinical dermatology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Although artificial intelligence has been available for some time, it has garnered significant interest recently and has been popularized by major companies with its applications in image identification, speech recognition and problem solving. Artificial intelligence is now being increasingly studied for its potential uses in medicine. A sound understanding of the concepts of this emerging field is essential for the dermatologist as dermatology has abundant medical data and images that can be used to train artificial intelligence for patient care. There are already a number of artificial intelligence studies focusing on skin disorders such as skin cancer, psoriasis, atopic dermatitis and onychomycosis. This article aims to present a basic introduction to the concepts of artificial intelligence as well as present an overview of the current research into artificial intelligence in dermatology, examining both its current applications and its future potential.
Reference Key
hogarty2019artificialamerican Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hogarty, Daniel T;Su, John C;Phan, Kevin;Attia, Mohamed;Hossny, Mohammed;Nahavandi, Saeid;Lenane, Patricia;Moloney, Fergal J;Yazdabadi, Anousha;
Journal american journal of clinical dermatology
Year 2019
DOI
10.1007/s40257-019-00462-6
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.