Comparison of artificial intelligence generated visuals with visual analog scale for pain assessment
AI-generated visuals offer a promising, patient-friendly alternative to traditional numeric pain scales. This novel approach demonstrated higher user satisfaction and more intuitive pain communication, particularly at pain extremes. Further refinement and validation are needed to optimize mid-range pain visuals and explore broader clinical applicability.
Authors
- Engin İhsan Turan (ORCID: https://orcid.org/0000-0001-7447-5074)
- Zehra Polat Turan (ORCID: https://orcid.org/0009-0009-8105-8944)
- Ayça Sultan Şahin (ORCID: https://orcid.org/0000-0002-7765-5297)
- Abdurrahman Engin Baydemir (ORCID: https://orcid.org/0000-0001-9332-1417)
- Gülben Top
Institutions
- Istanbul Metropolitan Municipality (TR)
- Sağlık Bilimleri Üniversitesi (TR)
- Şişli Etfal Eğitim ve Araştırma Hastanesi (TR)
- İstanbul Kanuni Sultan Süleyman Eğitim ve Araştırma Hastanesi (TR)
Publication Details
- Journal
- Minerva Anestesiologica
- Published
- 2025-10-15
- DOI
- https://doi.org/10.23736/s0375-9393.25.19249-3
- Citations
- 1
- Primary Topic
- Infrared Thermography in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 1.36