Literature DB >> 33741420

Artificial intelligence: the unstoppable revolution in ophthalmology.

David Benet1, Oscar J Pellicer-Valero2.   

Abstract

Artificial intelligence (AI) is an unstoppable force that is starting to permeate all aspects of our society as part of the revolution being brought into our lives (and into medicine) by the digital era, and accelerated by the current COVID-19 pandemic. As the population ages and developing countries move forward, AI-based systems may be a key asset in streamlining the screening, staging, and treatment planning of sight-threatening eye conditions, offloading the most tedious tasks from the experts, allowing for a greater population coverage, and bringing the best possible care to every patient. This paper presents a review of the state of the art of AI in the field of ophthalmology, focusing on the strengths and weaknesses of current systems, and defining the vision that will enable us to advance scientifically in this digital era. It starts with a thorough yet accessible introduction to the algorithms underlying all modern AI applications. Then, a critical review of the main AI applications in ophthalmology is presented, including diabetic retinopathy, age-related macular degeneration, retinopathy of prematurity, glaucoma, and other AI-related topics such as image enhancement. The review finishes with a brief discussion on the opportunities and challenges that the future of this field might hold.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Age-related macular degeneration; Artificial intelligence; Deep learning; Diabetic retinopathy; Glaucoma; Machine learning; Ophthalmology; Optical coherence tomography; Retina; Retinopathy of prematurity

Mesh:

Year:  2021        PMID: 33741420     DOI: 10.1016/j.survophthal.2021.03.003

Source DB:  PubMed          Journal:  Surv Ophthalmol        ISSN: 0039-6257            Impact factor:   6.048


  3 in total

Review 1.  Towards effective data sharing in ophthalmology: data standardization and data privacy.

Authors:  William Halfpenny; Sally L Baxter
Journal:  Curr Opin Ophthalmol       Date:  2022-07-12       Impact factor: 4.299

Review 2.  Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.

Authors:  Blake S Wilson; Debara L Tucci; David A Moses; Edward F Chang; Nancy M Young; Fan-Gang Zeng; Nicholas A Lesica; Andrés M Bur; Hannah Kavookjian; Caroline Mussatto; Joseph Penn; Sara Goodwin; Shannon Kraft; Guanghui Wang; Jonathan M Cohen; Geoffrey S Ginsburg; Geraldine Dawson; Howard W Francis
Journal:  J Assoc Res Otolaryngol       Date:  2022-04-20

Review 3.  The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques.

Authors:  Palaiologos Alexopoulos; Chisom Madu; Gadi Wollstein; Joel S Schuman
Journal:  Front Med (Lausanne)       Date:  2022-06-30
  3 in total

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