Artificial Intelligence (AI)-Based Intraoperative Visualization is Increasingly Integrated Into Robotic Surgery Platforms; However, Its Impact on Surgeons' Cognitive Workload Remains Unclear. This Study Evaluated Perceived Workload Among Console Surgeons and Bedside Assistants According to Different

University of Illinois

Status: Active, not recruiting

Conditions: Urology

Treatments: Other: Yolo

Study type: Interventional

Funder types: Other

Identifiers

NCT07566078

2026-0199

Details and patient eligibility

About

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.

Enrollment: 90 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria: Urology surgeon or urology resident -

Exclusion Criteria: not urology surgeon or not urology resident

-

Trial design

Primary purpose: Other

Allocation: Non-Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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90 participants in 3 patient groups

Continuous AI visualization

Active Comparator group

Description:

the AI overlay was displayed continuously throughout the entire surgical procedure.

Treatment:

Other: Yolo

Intermittent AI visualization

Active Comparator group

Description:

The operator selectively activated the AI visualization during key surgical phases according to preference

Treatment:

Other: Yolo

No AI visualization

No Intervention group

Description:

No AI visualization use