A selective deep learning framework for pressure injury staging with calibrated confidence and automated clinical documentation.
Pressure injuries are common chronic wounds that require accurate staging to guide management. Deep learning has shown promise for automated staging from clinical photographs, but most prior studies report classification accuracy alone without accounting for prediction uncertainty. We developed and...
| Published in: | Intensive & Critical Care Nursing Vol. 97 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Elsevier B.V.
Dec2026
|
| Online Access: | View this record in EBSCOhost |