ArticleIndian journal of ophthalmology2022
Eye MG 3D Application - A comprehensive ocular anatomy and pathophysiology 3D atlas with real-time true color confocal images to enhance ophthalmology education and e-Counseling.
Article in Indian journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The application of novel techniques in ophthalmology education.Frontiers in medicine · 2024Review
- A workflow to visualize vertebrate eyes in 3D.PloS one · 2023Article
- Commentary: What the eye sees, Let's make the world see - Smart evolution of teleophthalmology.Indian journal of ophthalmology · 2022Article
- Holographic elysium of a 4D ophthalmic anatomical and pathological metaverse with extended reality/mixed reality.Indian journal of ophthalmology · 2022Article
- Commentary: Digital 3D atlas of ophthalmology.Indian journal of ophthalmology · 2022Article
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8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Concepts pertaining to ophthalmology have lots of theoretical frameworks. Neophyte residents and novice surgeons may have to mentally visualize these concepts during the initial days of training. Only a powerful cognitive tool such as a three-dimensional (3D) eyeball model, with real-time TrueColor confocal images (and not animated images or models), can fill in these intellective mental gaps. Giving the users (i.e., residents and students) the power to choose and visualize various parts of the eye, with multiple magnitudes of zoom, is mandatory for optimal e-learning. To make ophthalmic concept learning better, we have developed a 3D app Eye MG 3D (patent pending) comprising ocular anatomy and pathophysiological 3D models, built on an advanced interactive 3D touch interface, by using patient's real-time confocal images to serve as a new-age pedagogical tool and e-counseling. According to our knowledge, there are no applications to date that incorporate real-time high-resolution multimodal confocal fundus images and photoreal visuals for interactive and immersive 3D learning.
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