NCT07848009

Brief Summary

This randomized controlled trial evaluates whether an artificial intelligence-based virtual reality (AI-VR) relaxation intervention can improve patient outcomes during upper gastrointestinal endoscopy. Patients undergoing elective upper gastrointestinal endoscopy will be randomly assigned in a 1:1 ratio to either an AI-VR intervention group or a routine-care control group. Participants in the intervention group will receive a 10-15-minute AI-VR relaxation session immediately before the endoscopy, while participants in the control group will receive routine care. The study will assess patients' anxiety, pain perception, physiological parameters, and satisfaction in relation to the endoscopy procedure. The findings will help determine whether AI-VR can improve patient comfort and the overall endoscopy experience.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
500

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jan 2026

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 4, 2026

Completed
1 day until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 5, 2026

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 7, 2026

Completed
7 months until next milestone

First Submitted

Initial submission to the registry

September 21, 2026

Completed
8 days until next milestone

First Posted

Study publicly available on registry

September 29, 2026

Completed
Last Updated

September 29, 2026

Status Verified

September 1, 2026

Enrollment Period

1 day

First QC Date

September 21, 2026

Last Update Submit

September 25, 2026

Conditions

Keywords

Patient Anxiety Pain Upper Gastrointestinal Endoscopy Artificial Intelligence Virtual Reality AI-Based Virtual Reality Anxiety Management Pain Management

Outcome Measures

Primary Outcomes (1)

  • Patient Anxiety During Upper Gastrointestinal Endoscopy

    Patient anxiety will be assessed using the State-Trait Anxiety Inventory (STAI). Anxiety scores will be compared between the artificial intelligence-based virtual reality intervention group and the routine-care control group to evaluate the effect of the intervention on patient anxiety during upper gastrointestinal endoscopy. The STAI consists of 20 items for assessing state anxiety, with total scores ranging from 20 to 80; higher scores indicate greater anxiety.

    Anxiety (STAI) Baseline (pre-intervention) and immediately after the endoscopy procedure Pain intensity (VAS) Immediately after the endoscopy procedure Patient satisfaction (PSQ) Immediately after the endoscopy procedure Physiological parameters

Study Arms (2)

AI-Based Virtual Reality Group

EXPERIMENTAL

Artificial Intelligence-Based Virtual Reality Relaxation

Behavioral: Artificial Intelligence-Based Virtual Reality Relaxation

Routine Care Control Group

NO INTERVENTION

non

Interventions

Artificial Intelligence-Based Virtual Reality Relaxation

AI-Based Virtual Reality Group

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Are within the prespecified age range for the study (\[insert minimum and maximum age
  • Are scheduled to undergo elective upper gastrointestinal endoscopy.
  • Are able to understand the study procedures and communicate effectively.
  • Are willing to participate in the study and provide informed consent.

You may not qualify if:

  • Participants will be excluded if they:
  • Have a condition that prevents them from safely participating in the virtual reality intervention.
  • Have significant visual, auditory, cognitive, or neurological impairment that would interfere with the use of the virtual reality intervention or completion of the study assessments.
  • Have previously participated in this study.
  • Are unable or unwilling to provide informed consent.
  • Require an urgent or emergency upper gastrointestinal endoscopy.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Al zaytoonah University

Amman, 00000, Jordan

Location

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Masking Details
Outcome assessment was performed by an assessor who was blinded to participants' group allocation.
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: This is a two-arm, parallel-group randomized controlled trial. Eligible participants undergoing elective upper gastrointestinal endoscopy will be randomly assigned in a 1:1 ratio to either an artificial intelligence-based virtual reality intervention group or a routine-care control group. The intervention group will receive a 10-15-minute AI-based virtual reality relaxation session before upper gastrointestinal endoscopy, while the control group will receive routine care.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor of Community Health Nursing

Study Record Dates

First Submitted

September 21, 2026

First Posted

September 29, 2026

Study Start

January 4, 2026

Primary Completion

January 5, 2026

Study Completion

March 7, 2026

Last Updated

September 29, 2026

Record last verified: 2026-09

Data Sharing

IPD Sharing
Will not share

Individual participant data will not be shared because the study did not establish a data-sharing arrangement for individual-level participant data. The data contain potentially identifiable participant information and will be retained securely by the research team in accordance with applicable ethical and institutional requirements. De-identified aggregate results will be reported in publications arising from the study.

Locations