SAP-backed machine studying programme in India seeks to forestall blindness in untimely infants


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A brand new screening programme in India leverages machine studying to scale back the danger of preventable blindness because of retinopathy of prematurity amongst untimely infants.

ROP is a situation that happens when irregular blood vessels develop within the retina.


CleaVision, a social enterprise supported by enterprise software program supplier SAP, developed an answer that automates the identification of retina and blood vessel options and makes a suggestion on plus illness, which is related to extreme ROP in preterm infants. It does this by integrating picture knowledge processing with SAP Enterprise Know-how Platform, SAP AI Platform, and SAP Analytics Cloud. 

The automated deep studying screening expertise has been piloted at Narayana Nethralaya Eye Institute (NNEI) in Bangalore, one of many main eye hospitals in India that has performed over 2,000 screening periods for ROP in infants. Now, it has generated an enormous database of retinal photographs from infants in several phases of the illness.

Following this pilot, CleaVision seeks to increase the rollout of its resolution by means of the Karnataka Web Assisted Analysis of ROP telemedicine community.


About 20% of 15 million untimely infants on the planet are born in India. There, round 200,000 infants are mentioned to be susceptible to growing a sophisticated stage of ROP the place irregular development of blood vessels in infants’ eyes could cause bleeding, scarring, and retinal detachment, finally resulting in irreversible blindness. In keeping with CleaVision, early analysis is crucial to assist infants get well timed therapy to totally get better from this illness.

“With India having the very best variety of untimely pregnancies and the truth that there are comparatively few certified ROP practitioners, the extra we will digitise and automate pre-screening the extra time these practitioners can spend on precise therapy,” mentioned CleaVision co-founder Chirag Gupta.

“Utilizing the facility of machine studying and knowledge analytics we will help time-pressed docs deal with treating at-risk infants,” added Narayan V.Ok., CleaVision co-founder.

Dr Anand Vinekar, the pinnacle of the Paediatric Retina Division at NNEI, mentioned the CleaVision screening resolution has the potential to help technicians and ROP specialists in offering a extra correct analysis. “That, in flip, would assist deal with these infants on time, giving a greater final result which prevents blindness from ROP,” he added.

With this expertise, the screening programme will also be scaled to achieve low-resource settings.


An identical automated deep studying system to detect superior ROP in untimely infants is being developed in america by means of the help of the Nationwide Eye Institute. In 2020, the system was given breakthrough standing by the Meals and Drug Administration.

In the meantime, in Australia, researchers from the College of South Australia additionally used AI to develop a laptop imaginative and prescient system to remotely monitor the very important indicators of preterm infants and detect their faces whereas mendacity in hospital beds.

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