Artificial intelligence in glaucoma.
Background: Artificial Intelligence (AI) is an area of computer science that encompasses the creation of intelligent machines that work and react like humans. It deals with the development algorithms that seek to simulate human brain and also mimic cognitive functions typically associated with the h...
| Publicado en: | Indian Journal of Ophthalmology Vol. 70; no. 5; pp. 1868 - 1870 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Wolters Kluwer India Pvt Ltd
May2022
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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=156682449&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 156682449 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03014738 1BRZ jtl: Indian Journal of Ophthalmology issn: 03014738 maglogo: N pubinfo: dt: May2022 vid: 70 iid: 5 pid: 16919 pub: Wolters Kluwer India Pvt Ltd artinfo: ui: 156682449 156682449 NLM35502116 10.4103/ijo.IJO_1015_22 NLM35502116 156682449 ppf: 1868 ppct: 2 formats: tig: atl: Artificial intelligence in glaucoma. aug: au: Nair, Megha Tagare, Shivraj Venkatesh, Rengaraj Odayappan, Annamalai affil: Aravind Eye Hospital, Puducherry sug: subj: Ophthalmology Methods Glaucoma Diagnosis Algorithms Artificial Intelligence Diagnosis, Eye Infant, Newborn Scales Arthritis Impact Measurement Scales Infant, Newborn: birth-1 month ab: Background: Artificial Intelligence (AI) is an area of computer science that encompasses the creation of intelligent machines that work and react like humans. It deals with the development algorithms that seek to simulate human brain and also mimic cognitive functions typically associated with the human mind such as learning and problem solving.Purpose: Do we need artificial intelligence in Glaucoma? Glaucoma is the second most common cause of blindness in the world. Its prevalence was over 60 million in 2010 and over 80 million by 2020. It is so common, yet so easily overlooked. More importantly, about 50% of patients in developed countries and 90% in developing countries are unaware of having glaucoma. Early detection can delay the progression of glaucoma. Hence the time is ripe to advovate glaucoma screening.Synopsis: The application of AI in ophthalmology mainly concentrates on the diseases with a high incidence, such as diabetic retinopathy, age-related macular degeneration, glaucoma, retinopathy of prematurity, age-related or congenital cataract etc AI involves mainly 1. machine learning that are algorithms with the ability to learn without being explicitly programmed and 2. deep learning in which artificial neural networks adapt and learn from vast amounts of data. But there are limitations to screening - such as disparity between ophthalmologist:patient ratio and also the availability of the specialty services. The large amount of data acquired from patients makes it nearly impossible for ophthalmologists to screen them with equal efficacy and consistency.Highlights: AI in glaucoma aims at including factors such as clinical data, genomic data, life style behaviors, risk factors, and medical history to predict the risk of developing glaucoma, help customise the most appropriate management protocol for a given patient, and estimate prognosis and surgical success.Video Link: https://youtu.be/IwYS7wDMhkY. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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