Journal of Soft Computing Paradigm
IRO Journals
Volume 7 — Issue 3 — September 2025

Robotic Surgery with Computer Vision: A Case Study on Da Vinci Systems

https://doi.org/10.36548/jscp.2025.3.003
Mutyala Dhatri Chowdary
Department of CSE, Pragati Engineering College, Surampalem
Chandra Sekhar Koppireddy
Assistant Professor,Department of CSE, Pragati Engineering College, Surampalem
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Chowdary, Mutyala Dhatri, and Chandra Sekhar Koppireddy. 2025. “Robotic Surgery With Computer Vision: A Case Study on Da Vinci Systems”. Journal of Soft Computing Paradigm 7 (3): 237-57. https://doi.org/10.36548/jscp.2025.3.003.
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Keywords

— Surgical robotics
— Image-guided surgery
— 3D surgical imaging
— Instrument tracking
— Depth perception enhancement
— Motion control in surgery
— Computer vision
— Medical image processing
— Surgical automation
Published: 05-09-2025

Abstract

Robotic surgery is nowadays one of the most important changes in modern medicine, as it is more precise, less invasive, and has a shorter recovery time. This review addresses the integration of computer vision into robotic-assisted surgery, with a case study of the Da Vinci Surgical System. The equipment consists of robotic arms controlled by a surgeon’s console, which provides high-definition 3D imagery and superior motion control. Computer vision improves depth perception, real-time instrument tracking, and surgical image processing to guide instruments more precisely, helping to identify complex anatomical structures. This is a review-based study that uses over 50 peer-reviewed articles, manufacturer technical specifications, and published clinical performance data. No original experimental or observational patient data that was gathered. Simulation settings of synthetic tissue models, validated kinematics and multi-specialty clinical case reports are mentioned in the referenced works. The existing drawbacks are associated with cost, low automation, and human-based operation. Artificial intelligence, machine learning, and autonomous functions are likely to be developed further, and current feasibility is limited to AI-assisted imaging, anatomical landmark detection and simple camera automation. Full autonomy in surgery is still in the research phase and is expected to be adopted in 8 to 10 years. Developments in imaging, system assessment, and clinical studies reveal that computer vision will continue to change robotic surgery in every corner of the globe.

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