Susmit Tripathi

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About

Susmit Tripathi is a pioneering researcher at the intersection of digital health and neurosurgery, with a primary focus on leveraging advanced computational tools to improve surgical outcomes. His most notable contribution is a systematic review titled "Assessing the benefits of digital twins in neurosurgery," which has garnered 24 citations since its 2024 publication. This work critically evaluates how digital twin technology—virtual replicas of patients' neural anatomy—can enhance preoperative planning, intraoperative guidance, and personalized treatment in neurosurgery. By synthesizing evidence from emerging studies, Tripathi has helped establish a foundational framework for integrating real-time simulation and predictive modeling into complex cranial and spinal procedures. His research underscores the potential of digital twins to reduce surgical risks, optimize recovery, and democratize access to high-precision care. Beyond this landmark review, Tripathi’s work advances the broader field of computational medicine, bridging gaps between engineering, data science, and clinical practice. His contributions are particularly impactful for students and researchers exploring the future of AI-driven surgery, offering a clear roadmap for translating theoretical models into tangible patient benefits. With his systematic approach and forward-thinking vision, Tripathi is shaping the next generation of neurosurgical innovation.