The CoE on AI in Healthcare is dedicated to transforming medical practices through cutting-edge research initiatives. The ongoing projects in personalized medicine, digital twins, telemedicine, digital forensics, and automated diagnostics exemplify the commitment of this CoE to innovation. The team is developing advanced systems for remote patient monitoring, disease surveillance, medical education, and AI-based drug discovery. Together, these efforts pave the way for a future where healthcare delivery is more precise, accessible, and efficient, ultimately leading to improved patient outcomes and enhanced medical care.
Ongoing activities
- The project VAIBHAV, in collaboration with Swansea University of the United Kingdom, is building a digital twin platform for the cardiovascular system.
- Method for monitoring longitudinal shifts in neurobehavioral wellness- Funded by Pawan Tewari -AI for Social Good
- In collaboration with the Uttar Pradesh Department of Medical Health & Family, and ICICI Foundation for Inclusive Growth (CSR partner of IIT Kanpur), the institute has developed the Real-Time Availability and Referral Portal (RT-BARP).
- The Uttar Pradesh Government, in collaboration with IIT Kanpur, is revolutionising healthcare by introducing a state-of-the-art health app designed to bridge the gap in medical services, especially in rural areas.
Technology Demonstrator Project
Rapidly Deployable Cardiac Digital Twin
The project is developing a cardiac digital twin (CDT) to improve precision in treating ventricular tachycardia (VT) and identify the risk of sudden cardiac death (SCD). The CDT will integrate MRI and ECG data to create patient-specific heart models that accurately replicate electrical activity and pathological conduction pathways. By simulating impulse propagation, the model will identify optimal ablation targets, minimizing damage to healthy tissue. Validated through retrospective and prospective studies, the CDT will also assess SCD risk by identifying arrhythmogenic patterns.
PI
Name: Dr. Ketan Rajawat
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Faculty Members
Dr. Ketan Rajawat
Electrical Engineering
Sensor Networks, cross-layer optimization, distributed network control, network monitoring, network coding
Dr. Nisheeth Srivastava
Computer Science and Engineering
Human Factors in computing, computational cognitive science, and computational social science
Associated Faculty Members
Dr. Ashutosh Modi
Computer Science and Engineering
Dr. Pragathi P. Balasubramani
Cognitive Science
Dr. Priyanka Bagade
Computer Science and Engineering
Dr. Tushar Sandhan
Electrical Engineering
Clinical advisors
Dr. Deepak Padmanabhan
Assistant Professor
Sri Jayadeva Institute of Cardiovascular Sciences and Research, Bengaluru
Cardiac Electrophysiologist
Dr. Darshan Krishnappa
Assistant Professor
Sri Jayadeva Institute of Cardiovascular Sciences and Research, Bengaluru
Cardiac Electrophysiologist
Publications
Rajawat, K. (2025). Cardiac Digital Twins—Computational Approaches for Personalized Arrhythmia Care. In Technology and Innovation in Medical Sciences: Breakthroughs from Gangwal School of Medical Sciences and Technology, IIT Kanpur (pp. 89-103). Singapore: Springer Nature Singapore.
Association and Collaboration
