Microsoft used its' Azure machine learning and Power BI services to analyze patterns among eye surgeries undertaken in India with the help of non-profit LV Prasad Eye Institute (LVPEI). The study was used to predict the outcome for eye surgery patients.

India accounts for nearly 55 million of the 285 million eye disease cases worldwide.

“By using our capabilities and pioneering work in the field of machine learning over the years, Microsoft has helped accelerate digital transformation in various key sectors in India, including agriculture and education. Today, I am happy to take forward the work we have done in healthcare with an esteemed set of partners. MINE, a global collaboration, reinforces Microsoft’s belief in the combined power of data, cloud and advanced analytics to drive public good. In our shared vision to eradicate preventive blindness, MINE will help redefine eyecare by bringing together the power of technology and knowledge of global experts” - Anil Bhansali, Managing Director, Microsoft India

Microsoft had to wade through 1.1 million anonymized records in order to provide insight to doctors about how the blindness spreads in the country.

Microsoft says it utilized Azure machine learning service to crunch the numbers and Power BI service to visualize the numbers. These numbers helped the doctors, Microsoft says, to ascertain how much time a patient has before their eye issues extrapolate.

Microsoft says after going through such voluminous data, its AI-platform was also able to predict how likely it is that doctors will be able to successfully perform eye surgeries. Though the company didn't share how accurate its projections have been, it said it is ready to expand the initiatives with other academic and research organizations.

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