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Dataset Information

Development of a Method for Clinical Evaluation of Artificial Intelligence-Based Digital Wound Assessment Tools.


ABSTRACT:

Importance

Accurate assessment of wound area and percentage of granulation tissue (PGT) are important for optimizing wound care and healing outcomes. Artificial intelligence (AI)-based wound assessment tools have the potential to improve the accuracy and consistency of wound area and PGT measurement, while improving efficiency of wound care workflows.

Objective

To develop a quantitative and qualitative method to evaluate AI-based wound assessment tools compared with expert human assessments.

Design, setting, and participants

This diagnostic study was performed across 2 independent wound centers using deidentified wound photographs collected for routine care (site 1, 110 photographs taken between May 1 and 31, 2018; site 2, 89 photographs taken between January 1 and De

SUBMITTER: Howell RS 

PROVIDER: S-EPMC8134996 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature