Investigation of Pressure Injuries With Visual ChatGPT Integration: A Descriptive Cross-Sectional Study

IF 3.8 3区医学 Q1 NURSING

Journal of Advanced Nursing Pub Date : 2025-03-14 DOI:10.1111/jan.16905

Pelin Karaçay, Polat Goktas, Özgen Yaşar, Burak Uyanik, Sinem Uzlu, Kübra Coşkun, Mesut Benk

引用次数: 0

Abstract

This study aimed to assess the performance of Visual ChatGPT in staging pressure injuries using real patient images, compare it to manual staging by expert nurses, and evaluate its applicability as a supportive tool in wound care management.

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来源期刊

Journal of Advanced Nursing 医学-护理

CiteScore

6.40

自引率

7.90%

发文量

369

审稿时长

3 months

期刊介绍： The Journal of Advanced Nursing (JAN) contributes to the advancement of evidence-based nursing, midwifery and healthcare by disseminating high quality research and scholarship of contemporary relevance and with potential to advance knowledge for practice, education, management or policy. All JAN papers are required to have a sound scientific, evidential, theoretical or philosophical base and to be critical, questioning and scholarly in approach. As an international journal, JAN promotes diversity of research and scholarship in terms of culture, paradigm and healthcare context. For JAN’s worldwide readership, authors are expected to make clear the wider international relevance of their work and to demonstrate sensitivity to cultural considerations and differences.