AI in Surgical Robotics: Advancing Precision and Minimizing Human Error

Ali Raza A Khan and Muhammad Ismaeel Khan and Aftab Arif (2025) AI in Surgical Robotics: Advancing Precision and Minimizing Human Error. Global Journal of Computer Sciences and Artificial Intelligence, 1 (1). pp. 17-30. ISSN 3079-5753

[thumbnail of article.pdf] Text
article.pdf

Download (523kB)

Abstract

AI being used in surgical robotics is rapidly changing the face of surgery in the modern society, improving the results of surgery by eliminating human influence and errors, and offering numerous advantages than manual surgery. In this paper, I delve into the possibility of using AI in surgical robotics with a view to reviewing how these surgical robots enhance surgical precision, shorten healing time and enhance general patient benefits. Machines, including robotic surgeries, like the da Vinci Surgical System, offer data feedback, risk assessment, analysis, and decision regarding improved safety and efficiency of surgeries. AI thus allows more accurate procedures in such surgeries depending with Surgeons’ handiwork, lessening of variation in results, fewer cases of complications, and quicker recovery. Nevertheless, there are limits or, more precisely, issues, which relate to the subject information protection, trust to the technologies, more significant and global ethical dilemmas concerning autonomy and responsibility. Further prospects for the development of AI in surgical robots involve complete robotic operations, more accurate simulation of surgeon’s skills and improved availability of high end healthcare. In future, AI is expected play a more significant role in surgical robotics and as technology advances similarly we can expect better care and enhanced healthcare delivery.

Item Type: Article
Date Deposited: 14 Oct 2026 05:15
Last Modified: 14 Oct 2026 05:15
URI: https://repository.globalsciencepress.com/id/eprint/551

Actions (login required)

View Item
View Item