Controversies in artificial intelligence

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)324-328
Number of pages5
JournalCurrent opinion in ophthalmology
Volume31
Issue number5
DOIs
StatePublished - Sep 2020

Keywords

  • Biases
  • deep learning
  • explainability
  • generalizability
  • patient confidentiality

ASJC Scopus subject areas

  • Ophthalmology

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