A group of IIT Delhi researcher have designed and showed AI-based low-power electronic equipment system that can help with identification of Malaria, Tuberculosis, Intestinal Parasite, and Cervical Cancer in a couple of milliseconds. It focuses on building a perceptive Neuromorphic system, which can be utilized for medicinal services in resource-constrained areas with restricted access to human experts.
Microscopy is especially very much adjusted to low-asset, high malady load territories, being both basic and flexible; notwithstanding for demonstrative errands for which more up to date advances are accessible the expense of specific gear may render it unrealistic in such places. As opposed to choices, for example, fast symptomatic tests, nonetheless, microscopy-put together conclusion depends with respect to the accessibility of gifted experts, of which there is a basic deficiency.
For such diseases, rapid diagnostics test is required to detect the disease and infection which require a microscopic based diagnosis and highly skilled experts to handle the test and other equipment of which there is an absolute shortage. And the development of such innovative disease by IIT-D researcher can help the people in a remote location in the diagnostic process.
Microscopy is particularly well adapted to low-resource, high disease burden areas, being both simple and versatile; even for diagnostic tasks for which newer technologies are available the cost of specialised equipment may render it impractical in such places. In contrast to alternatives such as rapid diagnostic tests, however, the microscopy-based diagnosis does depend on the availability of skilled technicians, of which there is a critical shortage.
The IITD scientists have shown a proof-of-concept (PoC) low-power rapid AI usage based microscopy diagnostic support system for four diseases: Malaria, Tuberculosis, Cervical Cancer and Intestinal Parasite Infection.
The team is lead by Prof Manan Suri, Dept of Electrical Engineering, IITD, had shown this work at two international meetings i.e., IEEE BioCAS-2018 in Cleveland, USA and IEEE BioCAS-2017 in Torino, Italy. And the students working on this project are Khushal Sethi, Narayani Bhatia, Vivek and Shridu Verma was awarded two Summer Undergraduate Research Awards (SURA), by IIT Delhi, in 2017 and 2018 individually.
Prof. Manan Suri, Department of Electrical Engineering, IIT Delhi, stated: “While a few programming AI models exist for medicinal services and indicative related applications, need of great importance is to proficiently outline models on convenient committed low-control, minimal effort equipment to empower edge-AI frameworks open to all in low asset condition”.
The device was showcased at Rashtrapati Bhawan and received the prestigious Gandhian Young Technology Innovation Award (GYTI) in 2018.