Ocular images-based artificial intelligence on systemic diseases

PURPOSE: To provide a summary of the research advances on ocular images-based artificial intelligence on systemic diseases. METHODS: Narrative literature review. RESULTS: Ocular images-based artificial intelligence has been used in a variety of systemic diseases, including endocrine, cardiovascular,...

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Autores principales: Tan, Yuhe, Sun, Xufang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197476/
https://www.ncbi.nlm.nih.gov/pubmed/37208715
http://dx.doi.org/10.1186/s12938-023-01110-1
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author Tan, Yuhe
Sun, Xufang
author_facet Tan, Yuhe
Sun, Xufang
author_sort Tan, Yuhe
collection PubMed
description PURPOSE: To provide a summary of the research advances on ocular images-based artificial intelligence on systemic diseases. METHODS: Narrative literature review. RESULTS: Ocular images-based artificial intelligence has been used in a variety of systemic diseases, including endocrine, cardiovascular, neurological, renal, autoimmune, and hematological diseases, and many others. However, the studies are still at an early stage. The majority of studies have used AI only for diseases diagnosis, and the specific mechanisms linking systemic diseases to ocular images are still unclear. In addition, there are many limitations to the research, such as the number of images, the interpretability of artificial intelligence, rare diseases, and ethical and legal issues. CONCLUSION: While ocular images-based artificial intelligence is widely used, the relationship between the eye and the whole body should be more clearly elucidated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-023-01110-1.
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spelling pubmed-101974762023-05-20 Ocular images-based artificial intelligence on systemic diseases Tan, Yuhe Sun, Xufang Biomed Eng Online Review PURPOSE: To provide a summary of the research advances on ocular images-based artificial intelligence on systemic diseases. METHODS: Narrative literature review. RESULTS: Ocular images-based artificial intelligence has been used in a variety of systemic diseases, including endocrine, cardiovascular, neurological, renal, autoimmune, and hematological diseases, and many others. However, the studies are still at an early stage. The majority of studies have used AI only for diseases diagnosis, and the specific mechanisms linking systemic diseases to ocular images are still unclear. In addition, there are many limitations to the research, such as the number of images, the interpretability of artificial intelligence, rare diseases, and ethical and legal issues. CONCLUSION: While ocular images-based artificial intelligence is widely used, the relationship between the eye and the whole body should be more clearly elucidated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-023-01110-1. BioMed Central 2023-05-19 /pmc/articles/PMC10197476/ /pubmed/37208715 http://dx.doi.org/10.1186/s12938-023-01110-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Tan, Yuhe
Sun, Xufang
Ocular images-based artificial intelligence on systemic diseases
title Ocular images-based artificial intelligence on systemic diseases
title_full Ocular images-based artificial intelligence on systemic diseases
title_fullStr Ocular images-based artificial intelligence on systemic diseases
title_full_unstemmed Ocular images-based artificial intelligence on systemic diseases
title_short Ocular images-based artificial intelligence on systemic diseases
title_sort ocular images-based artificial intelligence on systemic diseases
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197476/
https://www.ncbi.nlm.nih.gov/pubmed/37208715
http://dx.doi.org/10.1186/s12938-023-01110-1
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