Dermatology Image Quality Assessment (DIQA): Artificial intelligence to ensure the clinical utility of images for remote consultations and clinical trials

J Am Acad Dermatol. 2023 Apr;88(4):927-928. doi: 10.1016/j.jaad.2022.11.002. Epub 2022 Dec 13.

Authors

Ignacio Hernández Montilla¹, Taig Mac Carthy², Andy Aguilar², Alfonso Medela³

Affiliations

¹ Department of Medical Data Science, Legit.Health, Bilbao, Spain. Electronic address: ignaciohernandez@legit.health.
² Department of Clinical Endpoint Innovation, Legit.Health, Bilbao, Spain.
³ Department of Medical Data Science, Legit.Health, Bilbao, Spain.

PMID: 36526082
DOI: 10.1016/j.jaad.2022.11.002

No abstract available

Keywords: artificial intelligence; image quality assessment; perceptual image quality; remote care; teledermatology.

MeSH terms

Artificial Intelligence
Dermatology* / methods
Humans
Remote Consultation* / methods
Skin Diseases* / diagnosis
Skin Diseases* / therapy
Telemedicine* / methods