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Artificial Intelligence-Generated Facial Images for Medical Education.
Fan, Bingwen Eugene; Chow, Minyang; Winkler, Stefan.
Affiliation
  • Fan BE; Centre for Healthcare Innovation, Singapore, Singapore.
  • Chow M; Department of Haematology, Tan Tock Seng Hospital, Singapore, Singapore.
  • Winkler S; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Med Sci Educ ; 34(1): 5-7, 2024 Feb.
Article de En | MEDLINE | ID: mdl-38510393
ABSTRACT
We evaluated the use of text-to-image models (Microsoft's Bing Image creator (powered by DALL·E) and Shutterstock's AI image generator) to generate realistic images of human faces and their associated pathology, which may be useful for medical education, given they may overcome issues of patient privacy and requirement for consent. These models have potential to augment rare medical image datasets for medical education, as well as provide greater inclusivity and representation of diverse populations.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Med Sci Educ Année: 2024 Type de document: Article Pays d'affiliation: Singapour

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Med Sci Educ Année: 2024 Type de document: Article Pays d'affiliation: Singapour