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Active, not recruiting Not applicable Interventional Accepts healthy volunteers

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

ClinicalTrials.gov ID: NCT07566078

Public ClinicalTrials.gov record NCT07566078. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.

ClinicalTrials.gov public records Last synced Sep 5, 2026, 5:20 PM EDT

Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.

Official title

Impact of AI Visualization on Surgeons' Cognitive Workload in Single-Port Robotic Surgery

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

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.

Study identification

NCT ID
NCT07566078
Recruitment status
Active, not recruiting
Study type
Interventional
Phase
Not applicable
Enrollment
90 participants

Conditions and interventions

Conditions

Interventions

Other

Eligibility (public fields only)

Age range
18 Years and older
Sex
All
Healthy volunteers
Accepts healthy volunteers

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date
Aug 31, 2025
Primary completion
Aug 31, 2027
Completion
Aug 31, 2028
Last update posted
May 3, 2026

2025 – 2028

United States locations

U.S. sites
1
U.S. states
1
U.S. cities
1
Facility City State ZIP Site status
UI Health Chicago Illinois 60612

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows
Public field values for ClinicalTrials.gov record NCT07566078, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do
No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from
Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh
Last update posted May 3, 2026 · Synced Sep 5, 2026

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Open the official record

The complete protocol, eligibility criteria, and contact information for NCT07566078 live on ClinicalTrials.gov.

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