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...
| Publicado en: | Current Opinion in Ophthalmology Vol. 31; no. 5; pp. 324 - 329 |
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| Autores principales: | , , |
| Formato: | review Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146014644&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146014644 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10408738 IQX jtl: Current Opinion in Ophthalmology issn: 10408738 maglogo: N pubinfo: dt: Sep2020 vid: 31 iid: 5 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 146014644 146014644 NLM32769696 146014644 10.1097/ICU.0000000000000694 NLM32769696 146014644 ppf: 324 ppct: 5 formats: tig: atl: Controversies in artificial intelligence. aug: au: Liu, Y. Alvin Bressler, Neil M. Liu, T Y Alvin affil: Retina Division,Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA sug: subj: Ophthalmology Image Interpretation, Computer Assisted Methods Artificial Intelligence Eye Diseases Diagnosis Scales ab: 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. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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