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William Greig Mitchell

Showing results (1-10 of 11) with videos related to

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BMC Ophthalmology|May 22, 2021
Generalisability through local validation: overcoming barriers due to data disparity in healthcareWilliam Greig Mitchell, Edward Christopher Dee, Leo Anthony Celi
PLOS Global Public Health|January 17, 2025
Rebooting artificial intelligence for healthWilliam Greig Mitchell, Judy Gichoya Wawira, Leo Anthony Celi
The Lancet. Oncology|December 3, 2020
Enabling hopeEdward Christopher Dee, William Greig Mitchell, Anthony V D'Amico
Plos One|June 11, 2020
The weekend effect for stroke patients admitted to intensive care: A retrospective cohort analysisWilliam Greig Mitchell, Rohit Pande, Tom Edward Robinson, et al.
BMJ Open Ophthalmology|June 6, 2023
Sociodemographic disparities in ophthalmological clinical trialsLuis Filipe Nakayama, William Greig Mitchell, Skyler Shapiro, et al.
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Retinal Scans and Data Sharing: The Privacy and Scientific Development EquilibriumLuis Filipe Nakayama, João Carlos Ramos Gonçalves de Matos, Isabelle Ursula Stewart, et al.
PLOS Digital Health|January 13, 2026
Moving beyond the empty cell: The threat of decontextualized healthcare dataAya El Mir, Eric Bezerra de Sousa, Ignacio Mesina-Estarrón, et al.
International Journal of Retina and Vitreous|August 22, 2023
Fairness and generalizability of OCT normative databases: a comparative analysisLuis Filipe Nakayama, Lucas Zago Ribeiro, Juliana Angelica Estevão de Oliveira, et al.
PLOS Digital Health|October 8, 2024
Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative reviewLuis Filipe Nakayama, João Matos, Justin Quion, et al.
BMJ Open Ophthalmology|August 9, 2023
Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature reviewLuis Filipe Nakayama, William Greig Mitchell, Lucas Zago Ribeiro, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
BMC Ophthalmology|May 22, 2021
Generalisability through local validation: overcoming barriers due to data disparity in healthcareWilliam Greig Mitchell, Edward Christopher Dee, Leo Anthony Celi
PLOS Global Public Health|January 17, 2025
Rebooting artificial intelligence for healthWilliam Greig Mitchell, Judy Gichoya Wawira, Leo Anthony Celi
The Lancet. Oncology|December 3, 2020
Enabling hopeEdward Christopher Dee, William Greig Mitchell, Anthony V D'Amico
Plos One|June 11, 2020
The weekend effect for stroke patients admitted to intensive care: A retrospective cohort analysisWilliam Greig Mitchell, Rohit Pande, Tom Edward Robinson, et al.
BMJ Open Ophthalmology|June 6, 2023
Sociodemographic disparities in ophthalmological clinical trialsLuis Filipe Nakayama, William Greig Mitchell, Skyler Shapiro, et al.
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Retinal Scans and Data Sharing: The Privacy and Scientific Development EquilibriumLuis Filipe Nakayama, João Carlos Ramos Gonçalves de Matos, Isabelle Ursula Stewart, et al.
PLOS Digital Health|January 13, 2026
Moving beyond the empty cell: The threat of decontextualized healthcare dataAya El Mir, Eric Bezerra de Sousa, Ignacio Mesina-Estarrón, et al.
International Journal of Retina and Vitreous|August 22, 2023
Fairness and generalizability of OCT normative databases: a comparative analysisLuis Filipe Nakayama, Lucas Zago Ribeiro, Juliana Angelica Estevão de Oliveira, et al.
PLOS Digital Health|October 8, 2024
Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative reviewLuis Filipe Nakayama, João Matos, Justin Quion, et al.
BMJ Open Ophthalmology|August 9, 2023
Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature reviewLuis Filipe Nakayama, William Greig Mitchell, Lucas Zago Ribeiro, et al.
Pageof 2