Applied Deep Learning in Plastic Surgery: Classifying Rhinoplasty With a Mobile App

Abstract

The authors describe the development of DL applications to identify the presence of superficial surgical procedures solely from images and labels. DL is especially well suited for unstructured, high-fidelity visual and auditory data that does not lend itself to classical statistical analysis, and may be deployed as mobile applications for potentially unbridled use, so the authors expect DL to play a key role in many areas of plastic surgery.