Controversies in artificial intelligence.

Purpose Of Review: To review four recent controversial topics arising from deep learning applications in ophthalmology.Recent Findings: The controversies of four recent topics surrounding deep learning applications in ophthalmology are discussed, including the following: lack of explainability, limi...

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Detalles Bibliográficos
Publicado en:Current Opinion in Ophthalmology Vol. 31; no. 5; pp. 324 - 329
Autores principales: Liu, Y. Alvin, Bressler, Neil M., Liu, T Y Alvin
Formato: review Journal Article
Publicado: Lippincott Williams & Wilkins Sep2020
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Purpose Of Review: To review four recent controversial topics arising from deep learning applications in ophthalmology.Recent Findings: The controversies of four recent topics surrounding deep learning applications in ophthalmology are discussed, including the following: lack of explainability, limited generalizability, potential biases and protection of patient confidentiality in large-scale data transfer.Summary: These controversial issues spanning the domains of clinical medicine, public health, computer science, ethics and legal issues, are complex and likely will benefit from an interdisciplinary approach if artificial intelligence in ophthalmology is to succeed over the next decade.