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Artificial Intelligence and Imaging Processing in Optical Coherence Tomography and Digital Images in Uveitis

Abellanas, María; José Elena, María; Keane, Pearse A; Balaskas, Konstantinos; Grewal, Dilraj S; Carreño, Ester; (2022) Artificial Intelligence and Imaging Processing in Optical Coherence Tomography and Digital Images in Uveitis. Ocular Immunology and Inflammation , 30 (3) pp. 675-681. 10.1080/09273948.2022.2054433. Green open access

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Abstract

INTRODUCTION: Computer vision, understood as the area of science that trains computers to interpret digital images through both artificial intelligence (AI) and classical algorithms, has significantly advanced the analysis and interpretation of optical coherence tomography (OCT) in retina research. The aim of this review is to summarise the recent advances of computer vision in imaging processing in uveitis, with a particular focus in optical coherence tomography images. MATERIAL AND METHODS: Literature review. RESULTS: The development of computer vision to assist uveitis diagnosis and prognosis is still undergoing, but important efforts have been made in the field. CONCLUSION: The automatising of image processing in uveitis could be fundamental to establish objective and standardised outcomes for future clinical trials. In addition, it could help to better understand the disease and its progression.

Type: Article
Title: Artificial Intelligence and Imaging Processing in Optical Coherence Tomography and Digital Images in Uveitis
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/09273948.2022.2054433
Publisher version: https://doi.org/10.1080/09273948.2022.2054433
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Algorithm, artificial intelligence, computer vision, optical coherence tomography, uveitis
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10147741
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