Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113897
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dc.contributorSchool of Optometryen_US
dc.contributorResearch Centre for SHARP Visionen_US
dc.creatorQiu, Yen_US
dc.creatorChen, Xen_US
dc.creatorWu, Xen_US
dc.creatorLi, Yen_US
dc.creatorXu, Pen_US
dc.creatorJin, Ken_US
dc.creatorShang, Xen_US
dc.creatorChotcomwongse, Pen_US
dc.creatorHe, Men_US
dc.creatorShi, Den_US
dc.date.accessioned2025-06-27T09:30:16Z-
dc.date.available2025-06-27T09:30:16Z-
dc.identifier.urihttp://hdl.handle.net/10397/113897-
dc.language.isoenen_US
dc.publisherNature Publishing Groupen_US
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.en_US
dc.rights© The Author(s) 2025en_US
dc.rightsThe following publication Qiu, Y., Chen, X., Wu, X. et al. Embodied artificial intelligence in ophthalmology. npj Digit. Med. 8, 351 (2025) is available at https://doi.org/10.1038/s41746-025-01754-4.en_US
dc.titleEmbodied artificial intelligence in ophthalmologyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume8en_US
dc.identifier.doi10.1038/s41746-025-01754-4en_US
dcterms.abstractEmbodied artificial intelligence (EAI) integrates perception, memory, reasoning and action through physical interaction, enabling multimodal dynamic learning and real-time feedback. In ophthalmology, EAI supports data-driven decision-making, improving the precision and personalization of diagnosis, surgery, and treatment. It also holds transformative potential in medical education and scientific research by simulating clinical scenarios and accelerating discovery. This perspective highlights EAI’s unique potential while addressing current challenges in data, interpretation, and ethics, and outlines future directions for its clinical integration.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationnpj digital medicine, 2025, v. 8, 351en_US
dcterms.isPartOfnpj digital medicineen_US
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105007919387-
dc.identifier.eissn2398-6352en_US
dc.identifier.artn351en_US
dc.description.validate202506 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera3811b-
dc.identifier.SubFormID51170-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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