Anne van Dalen

230 I Chapter 8 1. Al Hajj H, Lamard M, Conze P-H, Cochener B, Quellec G. Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks. Med Image Anal. 2018;47:203- 218. 2. Hashimoto DA, Rosman G, Rus D, Meireles OR. Artificial intelligence in surgery: Promises and perils. Ann Surg. 2018; 268(1):70-76. doi:10.1097/ sla.0000000000002693 3. Malpani A, Lea C, Chen CCG, Hager GD. System events: readily accessible features for surgical phase detection. Int J Comput Assist Radiol Surg. 2016;11(6):1201-1209. 4. Languages OL. Definition of big data. Available from https://www.lexico . com/definition/big_data. accessed July 05, 2020. 5. AldersonD. The future of surgery. BJS. 2019;106(1):9-10. doi:10.1002/ bjs.11086 6. Loftus TJ, Upchurch GR Jr, Bihorac A. Use of artificial intelligence to represent emergent systems and augment surgical secision-making. JAMA Surgery. 2019;154(9): 791-792. doi:10.1001/ jamasurg.2019.1510. 7. Panesar S, Cagle Y, Chander D, Morey J, FernandezMiranda J, Kliot M. Artificial intelligence and the future of surgical robotics. Ann Surg. 2019;270(2):223-226. doi: 10.1097/ sla.0000000000003262 8. Yu K-H, Kohane IS. Framing the challenges of artificial intelligence in medicine. BMJ Qual Saf. 2019;28(3): 238-241. doi:10.1136/bmjqs-2018-008551 9. Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013;309(13):1351-1352. doi: 10.1001/jama.2013.393 10. Russell SJ, Norvig P. Artificial In telligence:AModernApproach.Malaysia: Pearson Education Limited; 2016. 11. Loftus TJ, Tighe PJ, Filiberto AC, et al. Artificial intelligence and surgical decision-making. JAMA Surg. 2020; 155(2):148-158. doi:10.1001/ jamasurg.2019.4917 12. WHO. Safe. Available from https://www.who . int /patientsafety/ safesurgery/faq_introduction/en/. accessed May 23, 2020. 13. Makary MA, Daniel M. Medical error-the third leading cause of death in the US. BMJ. 2016;353, i2139. doi:10. 1136/ bmj.i2139 14. Gordon L, Grantcharov T, Rudzicz F. Explainable artificial intelligence for safe intraoperative decision support. JAMA Surg. 2019;154(11):1064-1065. doi:10.1001/jamasurg.2019. 2821 15. Mirnezami R, Ahmed A. Surgery 3.0, artificial intelligence and the next- generation surgeon. Br JSurg. 2018;105(5): 463-465. doi:10.1002/bjs.10860 16. Navarrete-Welton AJ, Hashimoto DA. Current applications of artificial intelligence for intraoperative decision support in surgery. Front Med. 2020;14, 369. doi:10.1007/s11684- 020-0784-7 17. Padoy N. Machine and deep learning for workflow recognition during surgery. Minim Invasive Ther Allied Technol. 2019;28(2):82-90. doi:10.1080/13645706.2019. 1584116 REFERENCES