Jahangir S, Khan HA. Artificial intelligence in ophthalmology and visual sciences: Current implications and future directions. Artif Intell Med Imaging 2021; 2(5): 95-103 [DOI: 10.35711/aimi.v2.i5.95]
Corresponding Author of This Article
Hashim Ali Khan, Department of Ophthalmology, SEHHAT Foundation, Main KKH, Danyore, Gilgit 15100, Gilgit-Baltistan, Pakistan. retinadr.hashimalikhan@gmail.com
Research Domain of This Article
Ophthalmology
Article-Type of This Article
Minireviews
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/
Artif Intell Med Imaging. Oct 28, 2021; 2(5): 95-103 Published online Oct 28, 2021. doi: 10.35711/aimi.v2.i5.95
Artificial intelligence in ophthalmology and visual sciences: Current implications and future directions
Smaha Jahangir, Hashim Ali Khan
Smaha Jahangir, School of Optometry, The University of Faisalabad, Faisalabad, Punjab 38000, Pakistan
Hashim Ali Khan, Department of Ophthalmology, SEHHAT Foundation, Gilgit 15100, Gilgit-Baltistan, Pakistan
Author contributions: Jahangir S searched the literature and wrote the initial draft; Khan HA revised and edited the manuscript; both authors were involved in the basic idea and creating the outline of the review.
Conflict-of-interest statement: There is no conflict of interest among authors nor any source of bias towards this research.
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: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hashim Ali Khan, Department of Ophthalmology, SEHHAT Foundation, Main KKH, Danyore, Gilgit 15100, Gilgit-Baltistan, Pakistan. retinadr.hashimalikhan@gmail.com
Received: June 3, 2021 Peer-review started: June 3, 2021 First decision: June 23, 2021 Revised: June 30, 2021 Accepted: October 22, 2021 Article in press: October 27, 2021 Published online: October 28, 2021 Processing time: 145 Days and 12.9 Hours
Core Tip
Core Tip: Machine learning and artificial intelligence have evolved rapidly in recent years. Powerful machines and futuristic algorithms are bringing many possibilities towards the utilization of artificial intelligence in medical sciences. Ophthalmology is versatile in its adapting to newer and novel technologies earlier than other fields. Machine learning techniques assist clinicians and researchers in the detection and diagnosis of diseases as well as quantification of different disease biomarkers from ocular images. Interestingly, recent innovations like auto-machine learning has made it possible for clinicians, with little knowledge in computing and mathematics, to partake in creating, modifying, and training models tailored to their area of interest.
