Anwita Sarkar

Indian Institute of Engineering Science and Technology, Shibpur

Papers

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About

Anwita Sarkar is a rising voice at the intersection of artificial intelligence and surgical innovation, with a primary focus on AI-driven systems for minimally invasive procedures. Her most-cited work, "Artificial Intelligence and Robotics-Based Minimally Invasive Surgery" (2023), has already garnered 14 citations, signaling growing interest in her vision for data-enhanced healthcare. Sarkar’s key contribution lies in demonstrating how AI can analyze complex clinical trial data to detect subtle, often imperceptible patterns—patterns that can inform more precise robotic interventions and improve patient outcomes. By bridging machine learning with surgical robotics, she is helping to shift medicine from reactive treatment to proactive, data-guided care. Her research emphasizes the transformative potential of AI not as a replacement for human expertise, but as a powerful tool for augmenting clinical decision-making. Though early in her career, Sarkar’s work is already influencing conversations around the future of smart operating rooms and personalized surgical planning. For students and researchers exploring the convergence of AI and medicine, her studies offer a compelling roadmap for how computational intelligence can reshape the very nature of surgery.