Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators

Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators

Abstract The wide usage of artificial intelligence (AI) text-to-image generators raises concerns about the role of AI in amplifying misconceptions in healthcare. This study therefore evaluated the demographic accuracy and potential biases in the depiction of patients by four commonly used text-to-im...

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Main Authors: Tim Luca Till Wiegand, Leonard Ben Jung, Jonas Anton Gudera, Luisa Sophie Schuhmacher, Paulina Moehrle, Jon Felix Rischewski, Pardiss Mehrzad, Subin Jeong, Lisa Ha Nguyen, Michael Poeschla, Laura Isabella Velezmoro, Linus Kruk, Konstantinos Dimitriadis, Inga Katharina Koerte
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01817-6
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https://doi.org/10.1038/s41746-025-01817-6

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