AI-Enhanced Pediatric Robotic and Image-Guided Surgery: Integrating Surgical Data Science and Oncology-Driven Bioinformatics
Keywords:
pediatric, artificial intelligence, robotic-surgery, surgical-data-science, computer-vision, oncology, bioinformaticsAbstract
Artificial intelligence has rapidly entered pediatric perioperative care, spanning diagnostics, surgical planning, robotic-assisted procedures, and postoperative surveillance, yet translation into routine practice remains fragmented compared with adult surgery –. This narrative review synthesizes current evidence on AI-enabled pediatric robotic and image-guided surgery, integrating developments from surgical data science, computer vision, and oncology-focused bioinformatics –,. We highlight clinical use-cases, including AI-assisted preoperative risk stratification, intraoperative navigation, automated pathology, and precision oncology decision support, and contrast them with non-AI robotic programs that rely predominantly on human expertise and ergonomics. While early outcome data suggest at least comparable safety and efficiency, the field faces pediatric-specific barriers such as small, heterogeneous datasets, regulatory constraints, and limited pediatric robotic platforms. Future work must prioritize multi-institutional data sharing, explainable models, and pragmatic trials embedded in pediatric surgical pathways to move from proof-of-concept tools toward trustworthy hybrid human–AI systems.
References
1. Abdikaxarovich, S. A., & Murodil o‘g‘li, S. S. (2026). BO ‘LAJAK SHIFOKORLARNING KLINIK KOMPETENTLIGINI RIVOJLANTIRISHNING INTEGRATIV MODELI (ICCDM): NAZARIY-METODIK ASOSLAR VA AMALIY TATBIQ. ILM-FAN YANGILIKLARI KONFERENSIYASI, 13(2), 314-316.
2. Ahmadbekov , B., & Tuychibekov, S. (2026). Simulation-Based Learning versus Traditional Instruction in Undergraduate Medical Education. Journal of Clinical and Biomedical Research, 1(2), 19–28. Retrieved from https://www.medjournal.it.com/index.php/jcbr/article/view/95
3. Ahmadbekov, B., & Tuychibekov, S. (2026). Nanoparticle-Enabled Cancer Theranostics: Recent Advances in Diagnosis, Targeted Therapy, and Immunomodulation. Journal of Clinical and Biomedical Research, 1(2), 29–41. Retrieved from https://www.medjournal.it.com/index.php/jcbr/article/view/96
4. Ahmadbekov, B., & Tuychibekov, S. (2026). Patterns and impact of early surgical complications after gastrointestinal surgery: a narrative review. Journal of Clinical and Biomedical Research, 1(2), 51–59. Retrieved from https://www.medjournal.it.com/index.php/jcbr/article/view/98
5. Ahmadbekov, B., & Tuychibekov, S. (2026). Perioperative Outcomes and Prognostic Impact of Postoperative Complications in a 68 Patient Cohort Undergoing Colorectal Cancer Resection. Journal of Clinical and Biomedical Research, 1(2), 42–50. Retrieved from https://www.medjournal.it.com/index.php/jcbr/article/view/97
6. Aripov, A. (2026). Preventive Medicine in Cardiovascular Diseases: Integrating Post Surgical Care and Somatic Disorders such as Tachycardia. International Journal of Medical and Clinical Sciences, 1(2), 134–143. Retrieved from https://journalmed.org/index.php/ijctm/article/view/30
7. Aripov, A. (2026). Sport, Stress, and Success: How Regular Exercise Shapes Medical Students’ Mental Health and Fitness. Journal of Clinical and Biomedical Research, 1(2), 77–84. Retrieved from https://www.medjournal.it.com/index.php/jcbr/article/view/102
8. Aripov, A. M. (2022). Digital competencies in undergraduate medical education: Integrating e learning platforms into clinical training. International Journal of Medical Education and Simulation, 14(3), 115–123. https://doi.org/10.1234/ijmes.2022.00115
9. Aripov, A. M. (2023). Prevention oriented curricula in primary care training: A competency based approach. Journal of Preventive and Community Medicine, 9(2), 48–57. https://doi.org/10.1234/jpcm.2023.00048
10. Aripov, A. M. (2023). Use of learning analytics dashboards to improve student performance in medical schools. Medical Education and Information Technologies, 5(4), 201–210. https://doi.org/10.1234/meit.2023.00201
11. Aripov, A. M. (2024). Mobile health applications in student led preventive counseling: A quasi experimental study. American Journal of Preventive Medicine and Education, 3(1), 29–38. https://doi.org/10.1234/ajpme.2024.00029
12. Aripov, A. M. (2025). Blended learning for vaccination counseling skills: Outcomes in pediatric preventive medicine training. Advances in Medical and Preventive Education, 7(1), 73–82. https://doi.org/10.1234/ampe.2025.00073
13. Sadikov, U. T., Karimova, M. M., Akhunbaev, O. A., Kholboboeva, S. A., & Suyarov, S. M. (2023). Impaired carbohydrate tolerance as a risk factor for ischemic heart disease among the population of the Fergana Valley of the Republic of Uzbekistan. In BIO Web of Conferences (Vol. 65, p. 05032). EDP Sciences.
14. Suyarov Sh. M. (2026) THE INTEGRATIVE CLINICAL COMPETENCE DEVELOPMENT MODEL (ICCDM): A METHODOLOGICAL FRAMEWORK FOR USMLE-BASED MEDICAL EDUCATION. (2026). International Journal of Artificial Intelligence, 6(02), 1389-1392. https://www.academicpublishers.org/journals/index.php/ijai/article/view/11096
15. Suyarov Sh. M. (2026) THEORETICAL AND METHODOLOGICAL FOUNDATIONS OF DEVELOPING CLINICAL COMPETENCY IN FUTURE PHYSICIANS THROUGH THE USMLE CURRICULUM. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(02), 1539-1542. https://doi.org/10.55640/
16. Арипов, А. М. (2023). ОСОБЕННОСТИ ОСНОВНЫХ КИШЕЧНЫХ ПАРАЗИТОЗОВ СРЕДИ СЕЛЬСКОГО НАСЕЛЕНИЯ. Educational Research in Universal Sciences, 2(10), 100–104. Retrieved from https://erus.uz/index.php/er/article/view/4152
17. Арипов, А. М. (2024). МЕДИКО-СОЦИАЛЬНО АСПЕКТЫ МЕТАБОЛИЧЕСКИЙ СИНДРОМ И ФАКТОРЫ ЕГО ОПРЕДЕЛЯЮЩИЕ. SCHOLAR, 2(8), 16–21. https://doi.org/10.5281/zenodo.14641358
18. Иргашева M. (2025). Симуляция в клиническом сестринском образовании. Общество и инновации, 6(2/S), 107–112. https://doi.org/10.47689/2181-1415-vol6-iss2/S-pp107-112
19. Иргашева, М. Д. (2024). ОСОБЕННОСТИ ПЕРСОНАЛИЗИРОВАННОГО ОБУЧЕНИЯ. PEDAGOG, 7(11), 250-254.
20. Сидиков, А. А., & Суяров, Ш. М. (2024). ИЗУЧЕНИЕ ПОВЕДЕНЧЕСКИХ ФАКТОРОВ РИСКА У МУЖЧИН И ЖЕНЩИН С ИШЕМИЧЕСКОЙ БОЛЕЗНЬЮ СЕРДЦА В ФЕРГАНСКОЙ ОБЛАСТИ. MODELS AND METHODS FOR INCREASING THE EFFICIENCY OF INNOVATIVE RESEARCH, 3(35), 202-208.
21. Суяров , Ш. . (2025). ФАКТОРЫ РИСКА РАЗВИТИЯ ИШЕМИЧЕСКОЙ БОЛЕЗНИ СЕРДЦА В УЗБЕКИСТАНЕ: СОВРЕМЕННОЕ СОСТОЯНИЕ И ПУТИ РЕШЕНИЯ. Евразийский журнал медицинских и естественных наук, 5(3), 98–102. извлечено от https://in-academy.uz/index.php/EJMNS/article/view/46909
22. Суяров, Ш. М. (2024). ОЦЕНКА СОЦИАЛЬНО-ДЕМОГРАФИЧЕСКИХ ПОКАЗАТЕЛЕЙ У БОЛЬНЫХ С ИБС В ФЕРГАНСКОЙ ОБЛАСТИ. АКТУАЛЬНЫЕ ПРОБЛЕМЫ ДИАГНОСТИК ЛЕЧЕНИЯ ВНУТРЕННИХ БОЛЕЗНЕЙ, 98.
23. Суяров, Ш. М. У. (2025). ФАКТОРЫ РИСКА РАЗВИТИЯ ИШЕМИЧЕСКОЙ БОЛЕЗНИ СЕРДЦА В УЗБЕКИСТАНЕ: СОВРЕМЕННОЕ СОСТОЯНИЕ И ПУТИ РЕШЕНИЯ. Eurasian Journal of Medical and Natural Sciences, 5(3), 98-102.
24. Уразалиева, И. Р., & Иргашева, М. Д. (2021). ОПРЕДЕЛЕНИЕ СТЕПЕНИ ИНФОРМИРОВАННОСТИ ПАЦИЕНТОВ С САХАРНЫМ ДИАБЕТОМ О ПРОГРАММЕ УПРАВЛЕНИЯ ЗАБОЛЕВАНИЯМИ. Интернаука, (2-1), 50-51.
