Literature DB >> 32898686

Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.

Ji-Peng Olivia Li1, Hanruo Liu2, Darren S J Ting3, Sohee Jeon4, R V Paul Chan5, Judy E Kim6, Dawn A Sim7, Peter B M Thomas7, Haotian Lin8, Youxin Chen9, Taiji Sakomoto10, Anat Loewenstein11, Dennis S C Lam12, Louis R Pasquale13, Tien Y Wong14, Linda A Lam15, Daniel S W Ting16.   

Abstract

The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has created an unprecedented opportunity for ophthalmology to adapt to new models of care using tele-health supported by digital innovations. These digital innovations include artificial intelligence (AI), 5th generation (5G) telecommunication networks and the Internet of Things (IoT), creating an inter-dependent ecosystem offering opportunities to develop new models of eye care addressing the challenges of COVID-19 and beyond. Ophthalmology has thrived in some of these areas partly due to its many image-based investigations. Tele-health and AI provide synchronous solutions to challenges facing ophthalmologists and healthcare providers worldwide. This article reviews how countries across the world have utilised these digital innovations to tackle diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration, glaucoma, refractive error correction, cataract and other anterior segment disorders. The review summarises the digital strategies that countries are developing and discusses technologies that may increasingly enter the clinical workflow and processes of ophthalmologists. Furthermore as countries around the world have initiated a series of escalating containment and mitigation measures during the COVID-19 pandemic, the delivery of eye care services globally has been significantly impacted. As ophthalmic services adapt and form a "new normal", the rapid adoption of some of telehealth and digital innovation during the pandemic is also discussed. Finally, challenges for validation and clinical implementation are considered, as well as recommendations on future directions.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; COVID-19; Deep learning; Diabetic retinopathy screening; Digital innovations; Digital technology; Digital transformation; Tele-ophthalmology; Tele-screening; Telemedicine

Mesh:

Year:  2020        PMID: 32898686      PMCID: PMC7474840          DOI: 10.1016/j.preteyeres.2020.100900

Source DB:  PubMed          Journal:  Prog Retin Eye Res        ISSN: 1350-9462            Impact factor:   21.198


  39 in total

1.  Bringing Ophthalmic Graduate Medical Education into the 2020s with Information Technology.

Authors:  Emily Cole; Nita G Valikodath; April Maa; R V Paul Chan; Michael F Chiang; Aaron Y Lee; Daniel C Tu; Thomas S Hwang
Journal:  Ophthalmology       Date:  2020-12-24       Impact factor: 12.079

2.  Automatic identification of meibomian gland dysfunction with meibography images using deep learning.

Authors:  Yi Yu; Yiwen Zhou; Hongmei Zheng; Yanning Yang; Miao Tian; Yabiao Zhou; Yuejiao Tan; Lianlian Wu
Journal:  Int Ophthalmol       Date:  2022-09-19       Impact factor: 2.029

Review 3.  A Systematic Literature Review and Bibliometric Analysis of Ophthalmology and COVID-19 Research.

Authors:  Ali Forouhari; Vahid Mansouri; Sare Safi; Hamid Ahmadieh; Amir Ghaffari Jolfayi
Journal:  J Ophthalmol       Date:  2022-05-24       Impact factor: 1.974

Review 4.  Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review.

Authors:  Smiksha Munjral; Mahesh Maindarkar; Puneet Ahluwalia; Anudeep Puvvula; Ankush Jamthikar; Tanay Jujaray; Neha Suri; Sudip Paul; Rajesh Pathak; Luca Saba; Renoh Johnson Chalakkal; Suneet Gupta; Gavino Faa; Inder M Singh; Paramjit S Chadha; Monika Turk; Amer M Johri; Narendra N Khanna; Klaudija Viskovic; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; David W Sobel; Antonella Balestrieri; Petros P Sfikakis; George Tsoulfas; Athanasios Protogerou; Durga Prasanna Misra; Vikas Agarwal; George D Kitas; Raghu Kolluri; Jagjit Teji; Mustafa Al-Maini; Surinder K Dhanjil; Meyypan Sockalingam; Ajit Saxena; Aditya Sharma; Vijay Rathore; Mostafa Fatemi; Azra Alizad; Vijay Viswanathan; Padukode R Krishnan; Tomaz Omerzu; Subbaram Naidu; Andrew Nicolaides; Mostafa M Fouda; Jasjit S Suri
Journal:  Diagnostics (Basel)       Date:  2022-05-14

5.  DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity.

Authors:  Tiarnan D L Keenan; Qingyu Chen; Elvira Agrón; Yih-Chung Tham; Jocelyn Hui Lin Goh; Xiaofeng Lei; Yi Pin Ng; Yong Liu; Xinxing Xu; Ching-Yu Cheng; Mukharram M Bikbov; Jost B Jonas; Sanjeeb Bhandari; Geoffrey K Broadhead; Marcus H Colyer; Jonathan Corsini; Chantal Cousineau-Krieger; William Gensheimer; David Grasic; Tania Lamba; M Teresa Magone; Michele Maiberger; Arnold Oshinsky; Boonkit Purt; Soo Y Shin; Alisa T Thavikulwat; Zhiyong Lu; Emily Y Chew
Journal:  Ophthalmology       Date:  2022-01-03       Impact factor: 14.277

6.  Comment on: The Impact of COVID-19 on Individuals Across the Spectrum of Visual Impairment.

Authors:  Darren Shu Jeng Ting; Sherine Krause; Dalia G Said; Harminder S Dua
Journal:  Am J Ophthalmol       Date:  2021-05-11       Impact factor: 5.488

Review 7.  Hypertensive eye disease.

Authors:  Carol Y Cheung; Valérie Biousse; Pearse A Keane; Ernesto L Schiffrin; Tien Y Wong
Journal:  Nat Rev Dis Primers       Date:  2022-03-10       Impact factor: 52.329

Review 8.  Artificial Intelligence in Nutrients Science Research: A Review.

Authors:  Jarosław Sak; Magdalena Suchodolska
Journal:  Nutrients       Date:  2021-01-22       Impact factor: 6.706

9.  Augmented Intelligence in Ophthalmology: The Six Rights.

Authors:  Daniel S W Ting; Lama A Al-Aswad
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2021-07-13

10.  Prospective Comparative Study Investigating Agreement between Tele-Ophthalmology and Face-to-face Consultations in Patients Presenting with Chronic Visual Loss.

Authors:  Jasper Ka-Wai Wong; Ming Ming Zhu; Jason Chi-Hang Lam; Keith Man-Kei Leung; Jin Xiao Lian; Cindy Lo-Kuen Lam; Kendrick Co Shih; Jimmy Shiu-Ming Lai
Journal:  Ophthalmol Ther       Date:  2022-04-13
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