Urology
Conditions
Brief summary
Robotic surgery is now widely adopted in urology, and the da Vinci Single-Port (SP) platform enables complex procedures through a single multichannel incision, with favorable perioperative and outpatient outcomes in selected patients. However, single-port access and AI implementation also introduce unique ergonomic and cognitive challenges for surgeons and operating room staff. Quantifying intraoperative workload has become crucial to understand how new technologies affect performance, safety and training. The National Aeronautics and Space Administration Task Load Index (NASA-TLX) is a validated multidimensional instrument for subjective workload assessment and has been increasingly applied to surgical and specifically urologic practice. In parallel, augmented reality and artificial intelligence (AI) are emerging as tools to enhance intraoperative visualization and anatomical understanding during robot-assisted urologic procedures. The da Vinci TilePro multi-image display already allows simultaneous viewing of auxiliary imaging, but evidence on how real-time AI overlays integrated via TilePro affect cognitive workload in single-port urologic surgery is lacking. This prospective pilot study evaluates the impact of different TilePro visualization strategies on surgeon and bedside assistant workload, measured by weighted NASA-TLX scores, and explores associations with operative metrics in elective SP urologic procedures.
Interventions
OTHERYolo
The AI system employed in this study was based on a convolutional neural network (CNN) architecture implemented via the YOLO (You Only Look Once) framework, specifically designed for real-time instance segmentation of intraoperative anatomical structures.
Sponsors
University of Illinois at Chicago
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Intervention model description
The urology single port surgeries are categorized into three AI visualization modes according to the use of the TilePro display: Continuous AI visualization (n = 10): the AI overlay was displayed continuously throughout the entire surgical procedure. Intermittent AI visualization (n = 10): the first operator selectively activated the AI visualization during key surgical phases according to preference. Control cases with no AI (n = 10): TilePro off and a full-screen image of the operative field.
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
Urology surgeon or urology resident -
Exclusion criteria
not urology surgeon or not urology resident \-
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| NASA Task Load Index (NASA-TLX) questionnaire | 30 minutes after completing the surgey | The National Aeronautics and Space Administration Task Load Index (NASA-TLX) is a validated multidimensional instrument for subjective workload assessment and has been increasingly applied to surgical and specifically urologic practice |
Countries
United States
Outcome results
None listed