https://sputniknews.in/20230328/11-year-old-girl-creates-ai-app-that-can-detect-eye-disease-with-70-accuracy-1337985.html
11-Year-Old Girl Creates AI App That Can Detect Eye Disease With 70% Accuracy
11-Year-Old Girl Creates AI App That Can Detect Eye Disease With 70% Accuracy
Sputnik India
The innovative artificial intelligence-based app - Ogler Eyescan - can detect various eye diseases and conditions such as Arcus, Melanoma, Pterygium, and Cataract.
2023-03-28T18:41+0530
2023-03-28T18:41+0530
2023-05-18T23:29+0530
india
health
health issues
health crisis
science & tech
science & tech
https://cdn1.img.sputniknews.in/img/07e7/03/1c/1343991_0:94:2856:1701_1920x0_80_0_0_d010ead9fa517305a1ff2c7987907b14.jpg
A Dubai-based 11-year-old Indian girl, Leena Rafeeq, has become a star innovator after developing an application based on artificial intelligence (AI) that can detect eye diseases and other conditions with 70% accuracy.Named "Ogler EyeScan," the mobile app can detect the ailment through a unique scanning method using an iPhone.Rafeeq took to LinkedIn to share a post along with a video explaining how her innovation, which she developed at the age of 10, works.After the scan is taken appropriately, trained models are used to diagnose potential eye diseases or conditions like arcus, melanoma, pterygium, and cataracts.It took Rafeeq six months of research and development to create this innovative app with the help of SwiftUI (user interface). For this, the self-taught coder learned about different eye conditions, computer vision, algorithms, machine learning models, and advanced levels of Apple iOS development, including sensors data, AR, CreateML, CoreML, and more.The Ogler EyeScan app, which is only supported on iPhone 10 and iOS 16 or above operating systems, is currently under review in the App Store.
india
Sputnik India
feedback.hindi@sputniknews.com
+74956456601
MIA „Rossiya Segodnya“
2023
Sangeeta Yadav
https://cdn1.img.sputniknews.in/img/07e6/0c/0f/110602_0:0:641:640_100x100_80_0_0_c298016a79eb02ef8caa9d1f688c12a5.jpg
Sangeeta Yadav
https://cdn1.img.sputniknews.in/img/07e6/0c/0f/110602_0:0:641:640_100x100_80_0_0_c298016a79eb02ef8caa9d1f688c12a5.jpg
News
en_IN
Sputnik India
feedback.hindi@sputniknews.com
+74956456601
MIA „Rossiya Segodnya“
https://cdn1.img.sputniknews.in/img/07e7/03/1c/1343991_128:0:2749:1966_1920x0_80_0_0_7b57ef39206cd9218524aea825955130.jpgSputnik India
feedback.hindi@sputniknews.com
+74956456601
MIA „Rossiya Segodnya“
Sangeeta Yadav
https://cdn1.img.sputniknews.in/img/07e6/0c/0f/110602_0:0:641:640_100x100_80_0_0_c298016a79eb02ef8caa9d1f688c12a5.jpg
dubai, leena rafeeq, star innovator, artificial intelligence, ai, eye diseases, ogler eyescan, mobile app, iphone, advanced computer vision, machine learning, trained models, diagnose potential eye diseases, eye conditions, arcus, melanoma, pterygium, cataracts
dubai, leena rafeeq, star innovator, artificial intelligence, ai, eye diseases, ogler eyescan, mobile app, iphone, advanced computer vision, machine learning, trained models, diagnose potential eye diseases, eye conditions, arcus, melanoma, pterygium, cataracts
11-Year-Old Girl Creates AI App That Can Detect Eye Disease With 70% Accuracy
18:41 28.03.2023 (Updated: 23:29 18.05.2023) The innovative artificial intelligence-based app - Ogler Eyescan - can detect various eye diseases and conditions such as arcus, melanoma, pterygium, and cataracts.
A Dubai-based 11-year-old Indian girl, Leena Rafeeq, has become a star innovator after developing an application based on artificial intelligence (AI) that can detect eye diseases and other conditions with 70% accuracy.
Named "Ogler EyeScan," the mobile app can detect the ailment through a unique scanning method using an iPhone.
Rafeeq took to LinkedIn to share a post along with a video explaining how her innovation, which she developed at the age of 10, works.
Rafeeq says that her application scans the eyes and analyzes various parameters like light and color intensity, distance, and look-up points to locate the eyes within the range of the frame using "advanced computer vision and machine learning."
After the scan is taken appropriately, trained models are used to diagnose potential eye diseases or conditions like arcus, melanoma, pterygium, and cataracts.
It took Rafeeq six months of research and development to create this innovative app with the help of SwiftUI (user interface).
For this, the self-taught coder learned about different eye conditions, computer vision, algorithms, machine learning models, and advanced levels of Apple iOS development, including sensors data, AR, CreateML, CoreML, and more.
The Ogler EyeScan app, which is only supported on iPhone 10 and iOS 16 or above operating systems, is currently under review in the App Store.