Prediction of visual impairment in retinitis pigmentosa using deep learning and multimodal fundus images

BACKGROUND: The efficiency of clinical trials for retinitis pigmentosa (RP) treatment is limited by the screening burden and lack of reliable surrogate markers for functional end points. Automated methods to determine visual acuity (VA) may help address these challenges. We aimed to determine if VA...

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Detalles Bibliográficos
Autores principales: Liu, Tin Yan Alvin, Ling, Carlthan, Hahn, Leo, Jones, Craig K, Boon, Camiel JF, Singh, Mandeep S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Clinical Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579177/
https://www.ncbi.nlm.nih.gov/pubmed/35896367
http://dx.doi.org/10.1136/bjo-2021-320897

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579177/
https://www.ncbi.nlm.nih.gov/pubmed/35896367
http://dx.doi.org/10.1136/bjo-2021-320897

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