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

NCT07566078 | Active Not Recruiting

• 1 other identifier: 2026-0199
• Study Type: interventional
• Target: 90
• Locations: 1 country
• Sites: 1

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.

Conditions

Urology

Outcome Measures

Primary Outcomes (1)

• NASA Task Load Index (NASA-TLX) questionnaire

  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

  30 minutes after completing the surgey

Study Arms (3)

Continuous AI visualization

ACTIVE COMPARATOR

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

Other: Yolo

Intermittent AI visualization

ACTIVE COMPARATOR

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

Other: Yolo

No AI visualization

NO INTERVENTION

No AI visualization use

Interventions

Yolo OTHER

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.

Continuous AI visualization; Intermittent AI visualization

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

Sponsors & Collaborators

• University of Illinois at Chicago: lead

Study Sites (1)

UI Health

Chicago, Illinois, 60612, United States

Location

MeSH Terms

Interventions

Detection Algorithms

Intervention Hierarchy (Ancestors)

Algorithms; Mathematical Concepts

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NON RANDOMIZED
• Masking: NONE
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: M.D.

Model Details: 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.

Study Record Dates

• First Submitted: April 28, 2026
• First Posted: May 4, 2026
• Study Start: September 1, 2025
• Primary Completion (Estimated): September 1, 2027
• Study Completion (Estimated): September 1, 2028
• Last Updated: May 4, 2026

Record last verified: 2026-04

Data Sharing

• IPD Sharing: Will share
• Shared Documents: SAP

Locations

US (1)