Publication Name	Artificial Intelligence in Medical Imaging
Manuscript ID	68783
Country	Pakistan

Received	2021-06-03 20:34
Peer-Review Started	2021-06-03 20:37
To Make the First Decision
Return for Revision	2021-06-23 03:56
Revised	2021-06-30 20:16
Second Decision	2021-10-26 07:59
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-10-27 03:08
Articles in Press	2021-10-27 03:08
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-10-21 02:07
Typeset the Manuscript	2021-10-27 07:02
Publish the Manuscript Online	2021-10-27 09:29

ISSN	2644-3260 (online)
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/
Copyright	© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Ophthalmology
Manuscript Type	Minireviews
Article Title	Artificial intelligence in ophthalmology and visual sciences: Current implications and future directions
Manuscript Source	Invited Manuscript
All Author List	Smaha Jahangir and Hashim Ali Khan
Funding Agency and Grant Number
Corresponding Author	Hashim Ali Khan, N/A, N/A, Department of Ophthalmology, SEHHAT Foundation, Main KKH, Danyore, Gilgit 15100, Gilgit-Baltistan, Pakistan. retinadr.hashimalikhan@gmail.com
Key Words	Artificial intelligence; Ophthalmology; Retina; Machine learning; Eye care
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.
Publish Date	2021-10-27 09:29
Citation	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
URL	https://www.wjgnet.com/2644-3260/full/v2/i5/95.htm
DOI	https://dx.doi.org/10.35711/aimi.v2.i5.95

Full Article (PDF)	AIMI-2-95.pdf
Full Article (Word)	AIMI-2-95.docx
Manuscript File	68783_Auto_Edited-ML-WangTQ.docx
Answering Reviewers	68783-Answering reviewers.pdf
Audio Core Tip	68783-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	68783-Conflict-of-interest statement.pdf
Copyright License Agreement	68783-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	68783-Language certificate.pdf
Peer-review Report	68783-Peer-review(s).pdf
Scientific Misconduct Check	68783-Bing-Liu M-1.png
Scientific Misconduct Check	68783-Bing-Liu M-2.png
Scientific Editor Work List	68783-Scientific editor work list.pdf