SUN’IY INTELLEKT ASOSIDA ROBOTLASHTIRILGAN JARROHLIK ZAMONAVIY TIBBIYOTNING YANGI BOSQICHI

Authors

  • Sayfiyeva N.H Author

Abstract

Robotlashtirilgan jarrohlik oxirgi o‘n yilliklarda minimal invaziv amaliyotlar samaradorligini oshirishda muhim rol o‘ynay boshladi. Sun’iy intellekt (SI) texnologiyalarining ushbu tizimlarga integratsiyasi jarrohlikning aniqligi, xavfsizligi va prognozlash imkoniyatlarini keskin kengaytirmoqda. Ushbu maqolada robotlashtirilgan jarrohlikning tuzilishi, SI algoritmlarining funksiyalari, klinik afzalliklari hamda rivojlanish istiqbollari ilmiy asosda tahlil qilinadi.

References

1. Satava R.M. Surgical robotics: the early chronicles. Surgical Laparoscopy, Endoscopy & Percutaneous Techniques. 2002;12(1):6–16.

2. Intuitive Surgical Inc. da Vinci Surgical System: Technology Overview. Journal of Robotic Surgery. 2019;13(2):223–230.

3. Hashimoto D.A., Rosman G., Rus D., Meireles O.R. Artificial intelligence in surgery: promises and perils. Annals of Surgery. 2018;268(1):70–76.

4. Maier-Hein L., Vedula S.S., Speidel S., et al. Surgical data science for next-generation interventions. Nature Biomedical Engineering. 2017;1:691–696.

5. Shademan A., Decker R.S., Opfermann J.D., et al. Supervised autonomous robotic soft tissue surgery. Science Translational Medicine. 2016;8(337):337ra64.

6. Esteva A., Robicquet A., Ramsundar B., et al. A guide to deep learning in healthcare. Nature Medicine. 2019;25:24–29.

7. Yang G.-Z., Cambias J., Cleary K., et al. Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy. Science Robotics. 2017;2(4):eaam8638.

8. Vercauteren T., Unberath M., Padoy N., Navab N. CAI4CAI: The rise of contextual artificial intelligence in computer-assisted interventions. Proceedings of the IEEE. 2020;108(1):198–214.

9. Bodenstedt S., Wagner M., Katić D., et al. Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis. International Journal of Computer Assisted Radiology and Surgery. 2019;14:1087–1097.

10. Panait L., Doarn C.R., Merrell R.C. Applications of robotics in surgery. Journal of Robotic Surgery. 2008;2(4):191–197.

11. Madani A., Namazi B., Altieri M.S., et al. Artificial intelligence for intraoperative guidance: using semantic segmentation. Annals of Surgery. 2020;272(6):1051–1059.

12. Lanfranco A.R., Castellanos A.E., Desai J.P., Meyers W.C. Robotic surgery: a current perspective. Annals of Surgery. 2004;239(1):14–21.

13. Cleary K., Nguyen C. State of the art in surgical robotics: clinical applications and technology challenges. Computer Aided Surgery. 2001;6(6):312–328.

14. Russell S., Norvig P. Artificial Intelligence: A Modern Approach. 4th ed. Pearson; 2021.

15. Davies B.L., Harris S.J., Lin W.J., et al. Robotic surgery: the next generation. Proceedings of the Institution of Mechanical Engineers. 2006;220(2):99–110.

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Published

2025-12-26

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