Improving the Accuracy of Diagnostic Imaging using Artificial Intelligence: A Method for Assessing Necrotic Tissue in Pressure Injury
The study demonstrated that AI, particularly the binary classification approach, can enhance necrotic tissue assessment in pressure injury evaluation. The BCM consistently outperformed the CCM, supporting its potential as a reliable tool to assist clinicians in objective and standardized pressure injury evaluation using the DESIGN-R® framework.
Authors
- Makoto Ohga
- Yoshiko Suyama (ORCID: https://orcid.org/0000-0003-1871-9534)
- Haruka Kanayama
- Kento Ikuta (ORCID: https://orcid.org/0000-0002-4871-4681)
- Ryunosuke Umeda
- Makoto Nakagaki
- Hiroyuki Nishikawa (ORCID: https://orcid.org/0000-0001-7652-7237)
- Shunjiro Yagi
- Yuka Kimura (ORCID: https://orcid.org/0009-0001-6392-6770)
- M. Konishi
Institutions
- Micro Focus (United States) (US)
- Tottori University (JP)
Publication Details
- Journal
- Yonago acta medica
- Published
- 2025-01-01
- DOI
- https://doi.org/10.33160/yam.2025.08.014
- Primary Topic
- Burn Injury Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00