| Literature DB >> 29292506 |
Lisa M Abbott1,2, Saxon D Smith3,4,5.
Abstract
A research team at Stanford recently reported that their deep convolutional neural network had learned to classify skin cancer with a level of competence equivalent to that of board-certified dermatologists. It is possible that in time, and using larger datasets, such software may surpass the average doctor in diagnostic ability, and that highly accurate technology may be available to both clinicians and patients via smartphones. This technology is poised to change the landscape of skin cancer diagnosis for both physicians and patients, but whether such changes are beneficial will depend on how they are regulated and implemented.Entities:
Keywords: artificial intelligence; diagnosis; medical law; skin cancer; smartphone
Mesh:
Year: 2018 PMID: 29292506 DOI: 10.1111/ajd.12758
Source DB: PubMed Journal: Australas J Dermatol ISSN: 0004-8380 Impact factor: 2.875