I intend to share the current update about the AI system in Nepal in ophthamology.
What is AI?
Artificial Intelligence (AI) refers to software that can mimic cognitive functions such as learning and problem solving by processing and recognizing patterns in large amounts of data.[1] Machine learning, a subset of AI, is a method commonly utilized in the development of automated diagnostic systems.[2][3]In machine learning, the machine creates its own algorithms by “learning” the associations between the input and the output. A range of analytical techniques may be incorporated in machine learning. The use of artificial neural networks is one common example. In essence, the machine is presented with an input (e.g. an image with features previously identified through traditional methods), and the machine processes this information and produces the output (e.g. the diagnosis of different diseases).[3]
Pattern recognition in retinal imaging modalities is well-suited for the application of artificial intelligence to image analysis. It has been implemented in the screening and diagnosis of retinal diseases such as Diabetic Retinopathy (DR), Retinopathy of Prematurity (RoP) and Age-related Macular Degeneration (AMD).
It is dedicated to many diseases. In this article, i am going to share with you a few of the devices which have been introduced in Nepal.
What system or machine begining use in Nepal?
Keratoconus: Heidelberg anterion keratoconus ai based detection system
Diabetic Retinopathy: Optomed Aurora hand-held fundus camera
Retinopathy of Prematurity: None
Age-related Macular Degeneration: Few system of fundus camera being use for it. Eyeris (https://www.eyeris.ai/)
Chatbot: Ai chatbot system by KuraKani
Tej Kohli and Ruit Foundation: It is believed that they are working for an AI and database system, but, nothing official has been found in evidence officially.
EMR: No evidence found yet has been published, but a few hospitals are working on it.
Mero Eye Foundation is one of the leading and has a big network system in Nepal. The foundation leaders are highly interested in collaborating with the AI companies too.
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Kapoor R, Walters SP, Al-Aswad LA. The current state of artificial intelligence in ophthalmology. Survey of Ophthalmology. 2019;64(2):233-240.
2. Roach, L. “Artificial Intelligence.” EyeNet Magazine, Nov. 2017, www.aao.org/eyenet/article/artificial-intelligence.
3. The ultimate guide to AI in radiology. The Ultimate Guide to AI in Radiology. https://www.quantib.com/the-ultimate-guide-to-ai-in-radiology. Accessed November 13, 2019.
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