REVIEW article
Front. Pediatr.
Sec. Pediatric Surgery
Volume 13 - 2025 | doi: 10.3389/fped.2025.1513897
This article is part of the Research TopicGlobal Surgery: The Next Frontier in Global Public Health Volume IIView all articles
Current Applications of Artificial intelligence in Pediatric Surgery
Provisionally accepted
Seyedehelham Shams1
Abolhasan Alijanpour2*
Reza Bahrami3
Razieh Akhondzardaini4Amirhossein Rahmani5Maryam Yeganegi5Ali Saberi6Amirhosein Naseri7
Ahmad Shirinzadeh-Dastgiri6Mohammad Vakili-Ojarood8Seyed Masoud Haghighikian6
Kazem Aghili9Mahmood Noorishadkam9
Hossein Neamatzadeh9- 1Hamadan University of Medical Sciences, Hamedan, Hamadan, Iran
- 2Babol University of Medical Sciences, Babol, Mazandaran, Iran
- 3Shiraz University of Medical Sciences, Shiraz, Fars, Iran
- 4Kerman University of Medical Sciences, Kerman, Kerman, Iran
- 5Iranshahr University of Medical Sciences, Iranshahr, Sistan and Baluchestan, Iran
- 6Iran University of Medical Sciences, Tehran, Tehran, Iran
- 7Aja University of Medical Sciences, Tehran, Tehran, Iran
- 8Ardabil University of Medical Sciences, Ardabil, Ardabil, Iran
- 9Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Yazd, Iran
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Artificial intelligence (AI) technology has penetrated into all walks of life, and in some aspects it has even far surpassed humans. It is transforming various fields of medicine, and pediatric surgery is no exception. This review article explores the diverse applications of AI technologies in pediatric surgical practice, highlighting their potential to enhance outcomes, improve decision-making, and streamline processes. We discuss the integration of machine learning algorithms in preoperative planning, aiding in the identification of complex anatomical variations and predicting surgical risks for children. The role of AI in intraoperative guidance through robotic systems and real-time imaging analysis is examined, emphasizing its capability to assist surgeons with precision and efficiency. Furthermore, we investigate the impact of AI on postoperative management, including predictive analytics for complications and personalized care for children. By analyzing current literature and case studies, this review underscores the promising future of AI in pediatric surgery, addressing both the benefits and challenges associated with its implementation. Ultimately, the paper advocates for further research and collaboration between AI experts and pediatric surgeons to harness the full potential of these innovative technologies in enhancing surgical outcomes for children.
Keywords: artificial intelligence, Pediatric Surgery, Preoperative, postoperative, prediction
Received: 19 Oct 2024; Accepted: 11 Apr 2025.
Copyright: © 2025 Shams, Alijanpour, Bahrami, Akhondzardaini, Rahmani, Yeganegi, Saberi, Naseri, Shirinzadeh-Dastgiri, Vakili-Ojarood, Haghighikian, Aghili, Noorishadkam and Neamatzadeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Abolhasan Alijanpour, Babol University of Medical Sciences, Babol, 47176-47745, Mazandaran, Iran
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.