Microsoft brings machine learning to LVPEI for better vision treatment

KV Kurmanath Hyderabad | Updated on January 16, 2018 Published on October 31, 2016

US firm eyes to replicate, scale up model globally

What are the chances of success in a medical surgery? Even seasoned doctors would hesitate to answer. How about a surgeon knowing the likely outcome even before starting the procedure?

Microsoft is using the tools to predict whether, (say) a Lasik (laser-assisted) surgery to correct vision problems will be successful or not, or with what success rate.

The Redmond (US)-based company is planning to develop models for clients to solve ocular, cardiac, educational, farm and retail sector problems.

To start with, it is working with LV Prasad Eye Institute, ICRISAT and Andhra Pradesh government, to build a model in ocular problems, agriculture and in education.

“We are trying to build a functional model with a client in each of these sectors. The model will be scaled up with other clients in India and abroad, solving the problems at a larger scale,” Anil Bhansali, Managing Director of Microsoft India (R&D), said.

Talking to BusinessLine on the sidelines of TiE-ISB Connect here on Thursday, he said the models that the company was developing could be scaled up so that a much larger user base could benefit.

“We are following One-customer-One-Problem to develop a model,” he said.

Bhansali, also the General Manager of the Cloud and Enterprise engineering teams at Microsoft India Development Center (MSIDC) in Hyderabad, made a presentation on ‘Building replicable and scalable models’ at the TiE-ISB Connect’s meeting, held at the Indian School of Business.

“The LVPEI must have treated 30 million patients so far. You add Sankar Netrayala, Aravind Eye Hospital as well as others, and you could address over 100 million patients using such scalable models,” he pointed.

Published on October 31, 2016

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