Artificial Intelligence and deep learning research have enabled techniques leading to development of innovative solutions for a wide variety of applications. In a similar landmark/crucial development, a team of IIT Delhi researchers designed and demonstrated AI-based low-power electronic hardware system that can help with detection of Malaria, Tuberculosis, Intestinal Parasite, and Cervical Cancer in few milliseconds.
IITD researchers’ work is focused on building an intelligent Neuromorphic system which can be used for healthcare access in resource-constrained areas with limited access to human specialists.
The IITD researchers have demonstrated a proof-of-concept (PoC) low-power rapid AI hardware implementation based microscopy diagnostic support system for four different diseases: Malaria, Tuberculosis, Cervical Cancer and Intestinal Parasite Infection. Prof. Manan Suri, Department of Electrical Engineering, IIT Delhi, said:
“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”.
The approach demonstrated by the researchers is portable, low-power and can classify with high accuracy in detection of the diseases.
The long-term impact and goal of this work will be to enable potential future deployment of the platform in rural and resource-constrained areas and improve the access to diagnostic health-care.
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 work was showcased at Rashtrapati Bhawan and also received the prestigious Gandhian Young Technology Innovation Award (GYTI) in 2018.