Filippo Calanna

Papers

Total Citations

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About

Filippo Calanna is a researcher at the forefront of artificial intelligence in surgical robotics, a field where he explores the integration of machine learning and autonomous systems to enhance precision in minimally invasive procedures. His most-cited work, "Artificial Intelligence in Surgical Robotics" (2024), lays foundational insights into how AI-driven algorithms can improve robotic dexterity, real-time decision-making, and patient outcomes during complex surgeries. Though early in his career, Calanna’s contributions are already shaping the next generation of smart surgical tools, with his paper garnering attention for its forward-looking analysis of safety and efficacy challenges. His research bridges engineering and clinical practice, aiming to reduce human error and expand access to advanced surgical care. Calanna’s work is notable for its interdisciplinary approach, drawing from computer vision, control theory, and biomedical engineering. As his citation count grows, he is poised to become a key voice in the ethical and technical evolution of robotic surgery, inspiring students and researchers to explore the transformative potential of AI in medicine.