Visual Field Prediction: Evaluating the Clinical Relevance of Deep Learning Models.

Eslami, Mohammad; Kim, Julia A; Zhang, Miao; Boland, Michael V; Wang, Mengyu; Chang, Dolly S; Elze, Tobias

Eslami, Mohammad; Kim, Julia A; Zhang, Miao; Boland, Michael V; Wang, Mengyu; Chang, Dolly S; Elze, Tobias.

Affiliation

Eslami M; Schepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Kim JA; Early Clinical Development, Genentech, Inc, South San Francisco, California.
Zhang M; Early Clinical Development, Genentech, Inc, South San Francisco, California.
Boland MV; Schepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Wang M; Schepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Chang DS; Early Clinical Development, Genentech, Inc, South San Francisco, California.
Elze T; Byers Eye Institute, Stanford University, Palo Alto, California.

Ophthalmol Sci ; 3(1): 100222, 2023 Mar.

Article in En | MEDLINE | ID: mdl-36325476

Key words

Artificial intelligence; CI, confidence interval; CNN, convolutional neural network; DL, deep learning; Deep learning; Glaucoma; MD, mean deviation; MPark, recurrent neural network method from Park et al; MWen, convolutional neural network method from Wen et al; PMAE, pointwise mean absolute error; Prediction; RNN, recurrent neural network; ROP, rate of progression; TD, total deviation; VF, visual field; Visual fields; dB, decibel

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Ophthalmol Sci Year: 2023 Document type: Article

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