• Advanced stroke management using AI: Apollo Hospitals has partnered with India Medtronic to use AI-powered stroke treatment that will reduce diagnosis time from 60 min to 2 min. The doctors will also have remote access to brain scans and AI analysis of stroke patients on their mobile phones. The software will use artificial intelligence to create high quality, advanced images from non-contrast CT, CT angiography, CT perfusion, and MRI diffusion and perfusion scans, helping hospitals to improve time-critical triage or transfer decisions. The time saved is brain cells saved as every minute of delay leads to 2m more brain cells dying.
• Beating breast cancer through AI-enabled early detection software: NIRAMAI Health Analytix has developed a novel breast cancer screening solution, the core technology of which is an artificial intelligence led diagnostic platform that uses patented thermal image processing and machine learning algorithms for reliable and accurate tumour detection. The core of the solution is Thermalytix, a computer-aided diagnostic engine that is powered by Artificial Intelligence. Big data analytics, artificial intelligence and machine learning are leveraged to analyse the patient’s breast health condition, automatically generating a report listing certain unique parameters and recommending a breast health score. This method of screening can detect tumours five times smaller than what clinical exam can detect. It is a low cost, accurate, automated, portable cancer screening tool that can be operated by a simple clinician. Unlike mammography, this imaging method is radiation free, non-touch, not painful and works for women of all ages.
• Using AI to triage suspected Covid-19 patients: Wadhwani AI is developing an innovative triaging tool that will combine an analysis of solicited cough sounds as an objective measurement along with self-reported symptoms to identify the probable COVID-19 cases. The aim is to help the public health authorities to manage the crisis better by optimally utilising testing kits and improving reach of testing. Wadhwani AI has been working with the Government of Bihar, Odisha and developmental partners in Rajasthan and Maharashtra to collect cough and related data needed for the development of the tool. By now, the organisation has collected close to 9000 cough sounds and other related data from 3000 probable Covid patients.
• Eyecare screening for children using AI: Telangana Government has adopted Microsoft Intelligent Network for Eyecare (MINE) to address the high number of blindness and vision impairment cases occurred in children due to a lack of trained and skilled ophthalmologists. The screening tool focuses on diverse datasets of patients across geographies to come up with machine learning predictive models for vision impairment and eye diseases and can predict whether a LASIK, cataract or other surgery is going to be successful for a given patient or not. The Microsoft model is currently integrated and being validated in EMR systems at 174 centers of L V Prasad Eye Institute in India.
• AI screening tool for diabetic retinopathy detection: Aravind Hospital partnered with Google in 2013 to develop an algorithm that would help in the early detection of diabetic retinopathy. The complete screening tool has been developed using Google’s deep learning algorithm, which has achieved an accuracy of 98.6% in detecting the disease, on a par with the performance of ophthalmologists and retinal specialists. 71 vision centers are using this tool across rural Tamil Nadu which have been established by Aravind Eye Hospital.

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