IIT Indore develops human-like AI powered replica to detect disease in human body
The Indian Institute of Technology (IIT) Indore has made significant strides in the field of artificial intelligence (AI) by developing a human-like AI-powered replica designed to detect diseases within the human body. This innovative technology was showcased at the Madhya Pradesh Regional AI Impact Conference 2026, held in Bhopal on January 15, 2026. The conference attracted researchers, medical professionals, and technology experts, all eager to learn about this groundbreaking advancement.
Features of the AI-Powered Replica
The AI-powered replica developed by IIT Indore is capable of mimicking basic human functions such as breathing and blinking. This human-like robot serves as a digital twin of the human body, assisting doctors in early and preventive diagnosis by simulating how diseases affect various organs. The technology aims to enhance the understanding of disease patterns, ultimately leading to better healthcare outcomes.
Drishti CPS: The Technology Innovation Hub
Vaibhav Jain from Drishti CPS, a technology innovation hub at IIT Indore, provided insights into the project. Drishti CPS is supported by the Department of Science and Technology, Government of India, under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS). Jain explained that the hub offers various support programs for technology development, faculty, and students, as well as startup assistance.
Startup Support and Funding
To date, Drishti CPS has funded approximately 89 startups across various domains. The recent initiative, known as the Charak DT (Digital Twin) Platform, aims to translate technology into the healthcare sector. This platform focuses on creating digital twins of human bodies to facilitate preventive diagnosis of diseases.
How the Digital Twin Model Works
The digital twin model developed by IIT Indore allows for the simulation of a human patient. This replica can breathe and blink, resembling a real human. Medical professionals can conduct various experiments, including administering medications and treatments, to assess the effects on the digital twin. This approach enables preventive diagnoses to be provided based on the simulated responses of the replica.
AI Model and Disease Detection
The AI model integrated into the digital twin is trained on various human parameters that are indicative of potential diseases. When these parameters reach certain thresholds, the system is designed to provide diagnoses using advanced technologies. Currently, the digital twin model has been developed for the lungs, with plans to expand to other systems, including the cardiovascular system, in the future.
Collaborations for Clinical Validation
Jain emphasized the importance of collaboration in this project. IIT Indore has partnered with three All India Institute of Medical Sciences (AIIMS) facilities: AIIMS Bhopal, AIIMS Delhi, and AIIMS Raipur. These partnerships are crucial for clinical validation and the development of technology products that can be effectively utilized in healthcare settings.
The Future of AI in Healthcare
The development of the human-like AI-powered replica marks a significant milestone in the intersection of technology and healthcare. As AI continues to evolve, the potential applications in medical diagnostics and treatment are vast. The Charak DT platform aims to expand the capabilities of digital twins, providing healthcare professionals with valuable tools for early detection and preventive care.
Potential Impact on Patient Care
This innovative approach could revolutionize patient care by enabling healthcare providers to simulate various treatment scenarios and predict outcomes without putting real patients at risk. The ability to conduct experiments on a digital twin could lead to more personalized and effective treatment plans, ultimately improving patient outcomes and reducing healthcare costs.
Conclusion
The development of a human-like AI-powered replica by IIT Indore represents a significant advancement in medical technology. By combining AI with the concept of digital twins, this initiative has the potential to enhance disease detection and preventive diagnosis. As the project progresses, it will be exciting to see how these innovations shape the future of healthcare and improve the lives of patients.
Note: The information presented in this article is based on the latest available data as of January 17, 2026, and is subject to change as further developments occur in the field of AI and healthcare technology.
