Devika, Kella. and Varshitha, E. and Bhargavi, Ch. and Rao, P. Bhanuji (2025) Artificial Intelligence: Transforming the Future of Robotic Surgery. International Journal of Innovative Science and Research Technology, 10 (3): 25mar997. pp. 1155-1161. ISSN 2456-2165
![IJISRT25MAR997.pdf [thumbnail of IJISRT25MAR997.pdf]](https://eprint.ijisrt.org/style/images/fileicons/text.png)
IJISRT25MAR997.pdf - Published Version
Download (809kB)
Abstract
Minimally Modern invasive medicine is developing remarkably; robotic surgery uses computer-operated robotic technology to increase accuracy, vision, and surgical efficiency. By enabling real-time analysis, decision-making, and automatic support throughout operations, artificial intelligence (AI) magnifies these benefits even more. Al-driven robotic systems are increasingly embraced offering improved patient outcomes including reduced recovery times, minimal complications, and enhanced precision in many different medical disciplines including neurosurgery, cardiothoracic, gynaecological, gastrointestinal, urological, orthopaedic, and oncology operations. Among artificial intelligence's contributions to robotic surgery are motion control, haptic feedback, and picture identification, thereby optimizing surgical precision and results. Still, problems including cybersecurity risks, integration challenges, and regulatory obstacles call for innovation and adaptation. Future advancements include increased robotic autonomy, customized surgical solutions, and AI-powered training simulations---which open the road for safer, more patient-specific surgical treatment-based on Emphasizing its potential to totally disrupt existing healthcare procedures, this paper explores the transforming impact of AI-enhanced robotic surgery, its clinical applications, advantages, challenges, and shifting scene of medical robotics.
Item Type: | Article |
---|---|
Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 02 Apr 2025 16:04 |
Last Modified: | 02 Apr 2025 16:04 |
URI: | https://eprint.ijisrt.org/id/eprint/199 |