Papers
1
Total Citations
31
H-Index
1
About
Chetana Das is a leading researcher at the intersection of the Internet of Robotic Things (IoRT) and Digital Twin (DTw) technology, with a focused application in the future of surgical healthcare. Her most cited work, the 2022 paper “Toward IoRT Collaborative Digital Twin Technology Enabled Future Surgical Sector,” has garnered 31 citations, establishing her as a key voice in this emerging field. Das’s major contribution lies in conceptualizing how virtual, computer-based models—or “twins”—can mimic real surgical entities, from instruments to human anatomy, to revolutionize precision, planning, and outcomes in the operating room. By integrating IoRT’s networked robotic intelligence with DTw’s predictive simulations, she outlines a transformative framework for collaborative, data-driven surgeries. Her research addresses critical technical innovations, opportunities, and challenges, bridging the gap between theoretical digital healthcare and practical implementation. Das’s work is particularly notable for its forward-looking vision, anticipating how these technologies will reshape surgical sectors in ways previously unknown. For students and researchers, her scholarship offers a compelling roadmap into the future of intelligent, connected surgical systems, highlighting both the immense potential and the hurdles ahead in this rapidly advancing domain.
Research Focus
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Top Papers
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