Interpretation of artificial intelligence studies for the ophthalmologist.
Purpose Of Review: The use of artificial intelligence (AI) in ophthalmology has increased dramatically. However, interpretation of these studies can be a daunting prospect for the ophthalmologist without a background in computer or data science. This review aims to share some practical consideration...
| Publicado en: | Current Opinion in Ophthalmology Vol. 31; no. 5; pp. 351 - 357 |
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| Autores principales: | , , , , , , , , |
| Formato: | research 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=146014647&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146014647 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: 146014647 146014647 NLM32740068 146014647 10.1097/ICU.0000000000000695 NLM32740068 146014647 ppf: 351 ppct: 6 formats: tig: atl: Interpretation of artificial intelligence studies for the ophthalmologist. aug: au: Tien-En Tan Xinxing Xu Zhaoran Wang Yong Liu Ting, Daniel S. W. Tan, Tien-En Xu, Xinxing Wang, Zhaoran Liu, Yong affil: Singapore Eye Research Institute, Singapore National Eye Centre,, Singapore, Singapore sug: subj: Artificial Intelligence Data Analysis, Statistical Human Health Care Delivery Ophthalmology Methods Arthritis Impact Measurement Scales Impact of Events Scale Scales ab: Purpose Of Review: The use of artificial intelligence (AI) in ophthalmology has increased dramatically. However, interpretation of these studies can be a daunting prospect for the ophthalmologist without a background in computer or data science. This review aims to share some practical considerations for interpretation of AI studies in ophthalmology.Recent Findings: It can be easy to get lost in the technical details of studies involving AI. Nevertheless, it is important for clinicians to remember that the fundamental questions in interpreting these studies remain unchanged - What does this study show, and how does this affect my patients? Being guided by familiar principles like study purpose, impact, validity, and generalizability, these studies become more accessible to the ophthalmologist. Although it may not be necessary for nondomain experts to understand the exact AI technical details, we explain some broad concepts in relation to AI technical architecture and dataset management.Summary: The expansion of AI into healthcare and ophthalmology is here to stay. AI systems have made the transition from bench to bedside, and are already being applied to patient care. In this context, 'AI education' is crucial for ophthalmologists to be confident in interpretation and translation of new developments in this field to their own clinical practice. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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