Alexander Beulens

340 Chapter 13 maximizing the chances of continence for the patient. This type of research can result in a personalised prediction model combining patient factors and surgical skills data for postoperative incontinence and erectile dysfunction. The combination of technical skills analysis and non-technical skills (NTS) analysis could help improve postoperative outcomes even further. The implementation of non-technical skills analysis could possibly be used to develop team-training programs specifically for the introduction of the surgical robot in relation to changes in NTS, thus reducing the chances of complications due to failure in NTS. Key future recommendations • A proficiency-based multi-step training program could be the start of a lifelong learning program for RAS surgeons. • Novel assessment methods need to be developed to allow for objective and consistent assessment of expert’s surgeons’ skills. • The possibility of urethral length measurements in previously recorded videos could revolutionize the field of surgery. If Deep Learning and Artificial Intelligence can be used to recognize anatomy in the surgical video, the length of the residual urethra stump could be measured accurately and automatically. • The implementation of non-technical skills analysis could possibly be used to develop team-training programs specifically for the introduction of the surgical robot in relation to changes in NTS, thus reducing the chances of complications due to failure in NTS, and improving postoperative outcomes.

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