Thu. Mar 28th, 2024

New Delhi: IIT Delhi researchers have come up with an AI (Artificial Intelligence) based system that can detect diseases like malaria, TB, cervical cancer, intestinal parasite in a few milliseconds.

IIT Delhi

This system is a cost-effective, low power consuming hardware device that detects these disease using Artificial Intelligence and Deep Learning. These are computer-based machine learning techniques that “learn” by looking at existing data. Many innovative applications in healthcare use such techniques.

The research mainly focuses on building a neuromorphic system which can be used for healthcare access in resource-constrained areas with limited access to human specialists. The diagnostic support system can read raw data from blood samples, patterns of a patient etc and can predict diseases suffered by the patients within seconds.

“While several software AI models exist for healthcare and diagnostic related applications, need of the hour is to efficiently map these models on portable dedicated low-power, low-cost hardware to enable edge-AI systems accessible to all in low resource environment,” said Professor Manan Suri, Department of Electrical Engineering, IIT Delhi.

The research team led by Prof Manan Suri, Dept of Electrical Engineering, IITD, had presented this work at two flagship healthcare conferences i.e., IEEE BioCAS-2018 in Cleveland, USA and IEEE BioCAS-2017 in Torino, Italy.

The student researchers working on this project (Khushal Sethi, Narayani Bhatia, Vivek and Shridu Verma) were awarded two Summer Undergraduate Research Awards (SURA), by IIT Delhi, in 2017 and 2018 respectively.

The work was showcased at Rashtrapati Bhawan and also received the prestigious Gandhian Young Technology Innovation Award (GYTI) in 2018.

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