1.
Ann Hematol
; 103(9): 3815-3819, 2024 Sep.
Artículo
en Inglés
| MEDLINE
| ID: mdl-39073587
2.
Am J Hematol
; 98(1): 220-221, 2023 01.
Artículo
en Inglés
| MEDLINE
| ID: mdl-35726451
3.
Med Sci Educ
; 34(1): 5-7, 2024 Feb.
Artículo
en Inglés
| MEDLINE
| ID: mdl-38510393
RESUMEN
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.