Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative review.

Autor: Nakayama, Luis Filipe, Matos, João, Quion, Justin, Novaes, Frederico, Mitchell, William Greig, Mwavu, Rogers, Hung, Claudia Ju-Yi Ji, Santiago, Alvina Pauline Dy, Phanphruk, Warachaya, Cardoso, Jaime S., Celi, Leo Anthony

Publikováno v: PLoS Digital Health; 10/8/2024, Vol. 3 Issue 10, p1-14, 14p

Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review.

Autor: Nakayama LF; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA luisnaka@mit.edu.; Department of Ophthalmology, Sao Paulo Federal University, Sao Paulo, Brazil., Mitchell WG; Department of Ophthalmology, The Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia., Ribeiro LZ; Department of Ophthalmology, Sao Paulo Federal University, Sao Paulo, Brazil., Dychiao RG; University of the Philippines Manila College of Medicine, Manila, Philippines., Phanphruk W; Department of Ophthalmology, Khon Kaen University, Nai Mueang, Thailand., Celi LA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.; Department of Biostatistics, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA., Kalua K; Department of Ophthalmology, Blantyre Institute for Community Ophthalmology, BICO, Blantyre, Malawi., Santiago APD; Department of Ophthalmology and Visual Sciences, Philippine General Hospital, Manila, Philippines., Regatieri CVS; Department of Ophthalmology, Sao Paulo Federal University, Sao Paulo, Brazil., Moraes NSB; Department of Ophthalmology, Sao Paulo Federal University, Sao Paulo, Brazil.

Publikováno v: BMJ open ophthalmology [BMJ Open Ophthalmol] 2023 Aug; Vol. 8 (1).