Clinical Trial: Deep Learning for Flap Perfusion Detection

U.S., Sept. 30 -- ClinicalTrials.gov registry received information related to the study (NCT07846332) titled 'Deep Learning for Flap Perfusion Detection' on Sept. 23.

Brief Summary: The aim of this study is to develop a convolutional neural network-based image recognition model to identify flap perfusion abnormalities after first-stage auricular reconstruction in patients with congenital microtia. In addition, the study seeks to evaluate the real-world performance of this model when applied to clinical flap monitoring.

The main questions addressed are:

* Can an artificial intelligence (AI) image recognition model accurately detect flap perfusion abnormalities from photographs of the reconstructed ear?

* Compared with conventional clinic...