ARTIFICIAL INTELLIGENCE IN GASTROINTESTINAL SURGERY

Artificial_Intelligence_in_Gastrointestinalkapak

FUTURE PERSPECTIVES AND CHALLENGES OF ARTIFICIAL INTELLIGENCE (AI)  IN GASTROINTESTINAL SURGERY

Muhammet Kadri Çolakoğlu

Ankara Bilkent City Hospital, Department of Gastrointestinal Surgery, Ankara, Türkiye

Çolakoğlu MK. Future Perspectives and Challenges of Artificial Intelligence in Gastrointestinal Surgery. Çaycı HM, ed. Artificial Intelligence (AI) in Gastrointestinal Surgery. 1st ed. Ankara: Türkiye Klinikleri; 2025. p.123-131.

ABSTRACT

Artificial Intelligence has emerged as a transformative force in gastrointestinal surgery, offering innovative solutions to improve diagnostic precision, surgical outcomes, and personalized care. This chapter explores the future perspectives and challenges associated with the integration of AI in GI surgery. Key advancements include the adoption of AI for personalized treatment planning, real-time intraoperative data integration, and the evolution toward autonomous and collaborative AI systems. These technologies aim to enhance surgical precision, minimize complications, and streamline workflows. However, their implementation faces significant challenges, including ethical concerns, algorithmic biases, data privacy issues, and cost barriers. Overcoming these obstacles requires multidisciplinary collaboration, robust regulatory frameworks, and inclusive datasets to ensure equitable access to AI-driven surgical care. The synergy of AI and human expertise promises to shape a future where GI surgery becomes safer, more effective, and tailored to individual patient needs.

Keywords: Artificial intelligence; Robotic surgical procedures; Digestive system surgical procedures

Referanslar

  1. Shang Z, Chauhan V, Devi K, Patil S. Artificial Intelligence, the Digital Surgeon: Unravelling Its Emerging Footprint in Healthcare - The Narrative Review. J Multidiscip Healthc. 2024;17:4011-4022. [Crossref]  [PubMed]  [PMC]
  2. Yasmeen Z, Machi S, Maguluri KK, Mandala G, Danda R.. Transforming Patient Outcomes: Cutting-Edge Applications of AI and ML in Predictive Healthcare. South Eastern European Journal of Public Health, 2024;1704-1712. [Crossref]
  3. Ali R, Cui H. Unleashing the potential of AI in modern healthcare: Machine learning algorithms and intelligent medical robots. Research on Intelligent Manufacturing and Assembly. 2024;3(1):100-108. [Crossref]
  4. Marques M, Almeida A, Pereira H. The Medicine Revolution Through Artificial Intelligence: Ethical Challenges of Machine Learning Algorithms in Decision-Making. Cureus. 2024;16(9):e69405. [Crossref]  [PubMed]
  5. Prevezanou K, Seimenis I, Karaiskos P, Pikoulis E, Lykoudis PM, Loukas. Machine Learning Approaches for Evaluating the Progress of Surgical Training on a Virtual Reality Simulator. Appl. Sci. 2024;14:9677. [Crossref]
  6. Abbasi N, Hussain HK. Integration of Artificial Intelligence and Smart Technology: AI-Driven Robotics in Surgery: Precision and Efficiency. Journal of Artificial Intelligence General Science (JAIGS) 2024;5(1):381-390. [Crossref]
  7. Mitsala A, Tsalikidis C, Pitiakoudis M, Simopoulos C, Tsaroucha AK. Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era. Curr Oncol. 2021 Apr 23;28(3):1581-1607. [Crossref]  [PubMed]  [PMC]
  8. Huffman N, Pasqualini I, Khan ST, Klika AK, Deren ME, Jin Y, Kunze KN, Piuzzi NS. Enabling Personalized Medicine in Orthopaedic Surgery Through Artificial Intelligence: A Critical Analysis Review. JBJS Rev. 2024 Mar 11;12(3). [Crossref]  [PubMed]
  9. Solanki SL, Pandrowala S, Nayak A, Bhandare M, Ambulkar RP, Shrikhande SV. Artificial intelligence in perioperative management of major gastrointestinal surgeries. World J Gastroenterol. 2021 Jun 7;27(21):2758-2770. [Crossref]  [PubMed]  [PMC]
  10. Skinner G, Chen T, Jentis G, Liu Y, McCulloh C, Harzman A, Huang E, Kalady M, Kim P. Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery. NPJ Digit Med. 2024 Apr 22;7(1):99. [Crossref]  [PubMed]  [PMC]
  11. Rivero-Moreno Y, Rodriguez M, Losada-Muñoz P, Redden S, Lopez-Lezama S, Vidal-Gallardo A, Machado-Paled D, Cordova Guilarte J, Teran-Quintero S. Autonomous Robotic Surgery: Has the Future Arrived? Cureus. 2024 Jan 14;16(1):e52243. [Crossref]  [PubMed]
  12. Saeidi H, Opfermann JD, Kam M, Wei S, Leonard S, Hsieh MH, Kang JU, Krieger A. Autonomous robotic laparoscopic surgery for intestinal anastomosis. Sci Robot. 2022;7(62):eabj2908. Epub 2022 Jan 26. [Crossref]  [PubMed]  [PMC]
  13. Takeuchi M, Kitagawa Y. Artificial intelligence and surgery. Ann Gastroenterol Surg. 2023;8(1):4-5. [Crossref]  [PubMed]  [PMC]
  14. Lam K, Abràmoff MD, Balibrea JM, et al. A Delphi consensus statement for digital surgery. NPJ Digit Med. 2022;5(1):100. Published 2022 Jul 19. [Crossref]  [PubMed]  [PMC]
  15. Wang C, Liu S, Yang H, Guo J, Wu Y, Liu J. Ethical Considerations of Using ChatGPT in Health Care. J Med Internet Res. 2023 Aug 11;25:e48009. [Crossref]  [PubMed]  [PMC]
  16. Capraro V, Lentsch A, Acemoglu D, et al. The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PNAS Nexus. 2024;3(6):pgae191. Published 2024 Jun 11. [Crossref]  [PubMed]  [PMC]
  17. Malhotra K, Wong BNX, Lee S, et al. Role of Artificial Intelligence in Global Surgery: A Review of Opportunities and Challenges. Cureus. 2023;15(8):e43192. Published 2023 Aug 9. [Crossref]  [PubMed]