Informing a position statement on the use of artificial intelligence in dermatology in Australia. (15th November 2022)
- Record Type:
- Journal Article
- Title:
- Informing a position statement on the use of artificial intelligence in dermatology in Australia. (15th November 2022)
- Main Title:
- Informing a position statement on the use of artificial intelligence in dermatology in Australia
- Authors:
- Caffery, Liam J.
Janda, Monika
Miller, Robert
Abbott, Lisa M.
Arnold, Chris
Caccetta, Tony
Guitera, Pascale
Shumack, Stephen
Fernández‐Peñas, Pablo
Mar, Victoria
Soyer, H. Peter - Abstract:
- Abstract: Artificial Intelligence (AI) is the ability for computers to simulate human intelligence. In dermatology, there is substantial interest in using AI to identify skin lesions from images. Due to increasing research and interest in the use of AI, the Australasian College of Dermatologists has developed a position statement to inform its members of appropriate use of AI. This article presents the ACD Position Statement on the use of AI in dermatology, and provides explanatory information that was used to inform the development of this statement.
- Is Part Of:
- Australasian journal of dermatology. Volume 64:Number 1(2023)
- Journal:
- Australasian journal of dermatology
- Issue:
- Volume 64:Number 1(2023)
- Issue Display:
- Volume 64, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 64
- Issue:
- 1
- Issue Sort Value:
- 2023-0064-0001-0000
- Page Start:
- e11
- Page End:
- e20
- Publication Date:
- 2022-11-15
- Subjects:
- artificial intelligence -- dermatology -- guidelines -- machine learning -- position statement
Dermatology -- Periodicals
Dermatology -- Australasia -- Periodicals
616.5005 - Journal URLs:
- http://www.blackwell-synergy.com/loi/ajd ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/ajd.13946 ↗
- Languages:
- English
- ISSNs:
- 0004-8380
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1794.900000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25974.xml