Impact of New Technologies and Artificial Intelligence on the Optimization of Enhanced Recovery Protocols in Urology

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Published Oct 24, 2025
DOI: https://doi.org/10.18103/mra.v13i10.6960

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Main Article Content

S. Kerroumi
Department of urology, EHU Oran, health and environment research laboratory, Faculty de medicine of Oran, university Oran1 Algeria
M A Alqurashi
Department of urology, King Faisal Hospital, Makkah 5432, Saudi Arabia
AD. Lansari
Department of urology, EHU Oran, health and environment research laboratory, Faculty de medicine of Oran, university Oran1 Algeria
N N Alessa
Department of urology, King Faisal Hospital, Makkah 5432, Saudi Arabia
C. Ouanezar
Department of urology, EHU Oran, health and environment research laboratory, Faculty de medicine of Oran, university Oran1 Algeria
A A Alharbi
Department of urology, King Faisal Hospital, Makkah 5432, Saudi Arabia
M. Hafaf
Department of urology, EHU Oran, health and environment research laboratory, Faculty de medicine of Oran, university Oran1 Algeria
A. Bazzi
Department of urology, EHU Oran, health and environment research laboratory, Faculty de medicine of Oran, university Oran1 Algeria
M.J. Yousfi
Department of urology, EHU Oran, health and environment research laboratory, Faculty de medicine of Oran, university Oran1 Algeria

Abstract

Introduction and Objective: The approach of Enhanced Recovery after Surgery represents a contemporary paradigm in surgical development. It has proven to improve postoperative parameters. It has become the standard in the management of major surgery. The objective is to perform a literature review on the integration and impact of artificial intelligence and robotic surgery on the enhanced recovery after surgery system.


Materials and Methods: This is a recent literature review conducted on research platforms such as PubMed, Cochrane, and Scholar. It is a review that focuses on the last ten years, from 2014 to 2024. An estimated 17 articles were included in this work using the following keywords: Enhanced Recovery after Surgery protocol, Artificial intelligence, robotic surgery, and urology.


Results: Three major therapeutic advances have positively impacted the application of the enhanced recovery after surgery protocol: Robotic surgery and telesurgery, telemedicine, and artificial intelligence. These new technologies significantly reduce postoperative complications and shorten patient recovery. Enhanced recovery after surgery protocols in robotic urological surgery are associated with improved recovery and resource utilization. All urological procedures can be performed by robotic surgery and sometimes even with robotic telesurgery, which currently requires validation by scientific institutions. The integration of artificial intelligence and new technologies into enhanced recovery after surgery protocols offers significant opportunities to address implementation challenges and improve patient care. Artificial intelligence-based technologies require a large database. Ideally, all platforms should be unified into a single database with a single medical record to create a valid and efficient clinical decision support system.


Conclusion: The integration of artificial intelligence and robotic surgery has become mandatory in the enhanced recovery after surgery system. New technologies offer optimization and personalization of the protocol by simplifying clinical plans, ensuring high compliance, and creating patient-centered approaches with improved clinical outcomes and patient satisfaction.

Keywords: Enhanced recovery after surgery protocol, artificial intelligence, robotic surgery, urology

Article Details

How to Cite
KERROUMI, S. et al. Impact of New Technologies and Artificial Intelligence on the Optimization of Enhanced Recovery Protocols in Urology. Medical Research Archives, [S.l.], v. 13, n. 10, oct. 2025. ISSN 2375-1924. Available at: <https://esmed.org/MRA/mra/article/view/6960>. Date accessed: 05 dec. 2025. doi: https://doi.org/10.18103/mra.v13i10.6960.
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Issue
Vol 13 No 10 (2025): Vol.13, Issue 10, October 2025
Section
Research Articles

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