Grant: Applied Research and Development Grants - Level 1
Centennial College
$25,000.00
Development of a Machine Learning based Medical Data Extraction Tool for Calculating Intraocular Lens_x000d_ Power
FY 2020-21
Summary
Veritas Eye (inc. 2006) is actively commercializing machine-learning enabled tools for the improvement of surgical vision correction. The prediction of refractive outcomes after cataract surgery has only had minor improvements in accuracy over the past decade even with the introduction of more recent intraocular lens (IOL) power formulas (Melles et al. 2018). The current Error Rate of intraocular lens (IOL) power formulas is in the range of 34-37%; Veritas has brought that error rate down significantly to approximately 12%, with the potential for further decreasing the error rate through the improvement of their machine learning algorithm. This will potentially ensure more accurate surgical results. Veritas is seeking to commercialize a mobile software application to disseminate this algorithm.
Program
Applied Research and Development Grants - Level 1
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
551980-2020
Name nom
Tyagi, Purnima
Department département
Head Office
Organization id
22209
Institution établissement
Centennial College
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Development of a Machine Learning based Medical Data Extraction Tool for Calculating Intraocular Lens_x000d_
Power
Keyword
NSERC
Application summary
Veritas Eye (inc. 2006) is actively commercializing machine-learning enabled tools for the improvement of surgical vision correction. The prediction of refractive outcomes after cataract surgery has only had minor improvements in accuracy over the past decade even with the introduction of more recent intraocular lens (IOL) power formulas (Melles et al. 2018). The current Error Rate of intraocular lens (IOL) power formulas is in the range of 34-37%; Veritas has brought that error rate down significantly to approximately 12%, with the potential for further decreasing the error rate through the improvement of their machine learning algorithm. This will potentially ensure more accurate surgical results. Veritas is seeking to commercialize a mobile software application to disseminate this algorithm.
