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The Integration of Artificial Intelligence into Robotic Cancer Surgery: A Systematic Review
Agnieszka Leszczyńska1,2, Rafał Obuchowicz3, Michał Strzelecki4
1EconMed Europe, Młyńska 9/4, 31-469 Krakow, Poland.
Journal of Clinical Medicine
|September 13, 2025
Summary
Artificial intelligence (AI) enhances robotic oncologic surgery by improving preoperative planning, intraoperative precision, and postoperative outcome predictions using real patient data. Further research is needed to fully analyze AI
Area of Science:
- Oncology
- Robotic Surgery
- Artificial Intelligence
Background:
- Recent advancements in artificial intelligence (AI) are being integrated into robotic surgery.
- Focus on oncological patients and real-world patient data.
Purpose of the Study:
- To systematically review and synthesize recent studies on AI in robotic oncologic surgery.
- To evaluate the application of AI tools using real patient data.
Main Methods:
- Systematic review following PRISMA guidelines.
- Comprehensive search of Embase, Medline, Web of Science, medRxiv, Google Scholar, and IEEE databases (June 2025).
- Inclusion of peer-reviewed articles (2024-2025) on AI in robotic cancer surgery with real patient data.
Main Results:
- 14 articles were included after screening 989 initial records.
- Studies covered preoperative planning, intraoperative support, and postoperative predictions.
- AI demonstrated effectiveness in risk estimation, tumor localization, and outcome prediction.
Conclusions:
- AI significantly supports robotic oncologic surgery across all stages.
- AI improves precision, tissue preservation, and reduces ischemia time.
- AI aids in predicting patient outcomes, enhancing care, though further analysis is required.
