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Comparison of AI-Generated Pain Scoring Visuals With Visual Analog Scale (VAS) for Pain Assessment

NCT06456853 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2025-02-21

No results posted yet for this study

Summary

This prospective study will be conducted in surgical wards, assessing postoperative patients. Initially, patients will be evaluated using the VAS method. Subsequently, they will be shown five AI-generated images depicting different pain levels and will select the image that best represents their pain. A follow-up survey will assess the effectiveness of each method.

Using ChatGPT-4/DALL-E, images corresponding to VAS scores of 1-2, 3-4, 5-6, 7-8, and 9-10 will be created. Patients will choose the image that best describes their pain, aiming to determine if AI-supported visuals offer a more accurate alternative to VAS for pain assessment.

Conditions

  • Pain, Postoperative

Interventions

OTHER

Pain assesment

We will ask patients about their pain and will try to asses their pain scores. Then we will ask them to which methot is more suitable for assesment.

Sponsors & Collaborators

  • Kanuni Sultan Suleyman Training and Research Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-06-14
Primary Completion
2025-02-01
Completion
2025-02-02

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06456853 on ClinicalTrials.gov