Morya AK, Janti SS, Sisodiya P, Tejaswini A, Prasad R, Mali KR, Gurnani B. Everything real about unreal artificial intelligence in diabetic retinopathy and in ocular pathologies. World J Diabetes 2022; 13(10): 822-834 [PMID: 36311999 DOI: 10.4239/wjd.v13.i10.822]
Corresponding Author of This Article
Arvind Kumar Morya, MBBS, MNAMS, MS, Additional Professor, Department of Ophthalmology, All India Institute of Medical Sciences Bibinagar, Warangal Road, Hyderabad 508126, Telangana, India. bulbul.morya@gmail.com
Research Domain of This Article
Ophthalmology
Article-Type of This Article
Review
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Diabetes. Oct 15, 2022; 13(10): 822-834 Published online Oct 15, 2022. doi: 10.4239/wjd.v13.i10.822
Everything real about unreal artificial intelligence in diabetic retinopathy and in ocular pathologies
Arvind Kumar Morya, Siddharam S Janti, Priya Sisodiya, Antervedi Tejaswini, Rajendra Prasad, Kalpana R Mali, Bharat Gurnani
Arvind Kumar Morya, Siddharam S Janti, Antervedi Tejaswini, Department of Ophthalmology, All India Institute of Medical Sciences Bibinagar, Hyderabad 508126, Telangana, India
Priya Sisodiya, Department of Ophthalmology, Sadguru Netra Chikitsalaya, Chitrakoot 485001, Madhya Pradesh, India
Rajendra Prasad, Department of Ophthalmology, R P Eye Institute, New Delhi 110001, New Delhi, India
Kalpana R Mali, Department of Pharmacology, All India Institute of Medical Sciences, Bibinagar, Hyderabad 508126, Telangana, India
Bharat Gurnani, Department of Ophthalmology, Aravind Eye Hospital and Post Graduate Institute of Ophthalmology, Pondicherry 605007, Pondicherry, India
Author contributions: Morya AK and Janti SS contributed equally to this work; Sisodiya P, Tejaswini A, Gurnani B, Prasad R and Mali KR designed the research study; Morya AK and Janti SS performed the research; Sisodiya P, Tejaswini A, Gurnani B contributed new search and analytic tools; Morya AK, Janti SS,Tejaswini A and Gurnani B analyzed the data and wrote the manuscript; all authors have read and approve the final manuscript.
Conflict-of-interest statement: All authors report no relevant conflict of interest for this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Arvind Kumar Morya, MBBS, MNAMS, MS, Additional Professor, Department of Ophthalmology, All India Institute of Medical Sciences Bibinagar, Warangal Road, Hyderabad 508126, Telangana, India. bulbul.morya@gmail.com
Received: May 25, 2022 Peer-review started: May 25, 2022 First decision: August 1, 2022 Revised: August 11, 2022 Accepted: September 9, 2022 Article in press: September 9, 2022 Published online: October 15, 2022 Processing time: 141 Days and 22.4 Hours
Abstract
Artificial Intelligence is a multidisciplinary field with the aim of building platforms that can make machines act, perceive, reason intelligently and whose goal is to automate activities that presently require human intelligence. From the cornea to the retina, artificial intelligence (AI) is expected to help ophthalmologists diagnose and treat ocular diseases. In ophthalmology, computerized analytics are being viewed as efficient and more objective ways to interpret the series of images and come to a conclusion. AI can be used to diagnose and grade diabetic retinopathy, glaucoma, age-related macular degeneration, cataracts, IOL power calculation, retinopathy of prematurity and keratoconus. This review article intends to discuss various aspects of artificial intelligence in ophthalmology.
Core Tip: It is said that necessity is the mother of all inventions and converging global trends make multiplying eye care efficiency an increasingly urgent necessity. Artificial intelligence refers to an artificial creation of human-like intelligence of computer machines that can learn, reason, plan, perceive or process natural language.
