Scientific Programme & Abstracts from the International Meeting in Pediatric Endocrinology (IMPE)

impe0096fc10.1 | Miscellaneous | IMPE2023

Clinical usefulness of a deep learning-based facial recognition application (Face2Gene) as a diagnostic tool for syndromic endocrine-related disorders.

Motokawa Midori , Watanabe Satoshi , Nakatomi Akiko , Mishima Hiroyuki , Yoshiura Koh-ichiro , Moriuchi Hiroyuki , Dateki Sumito

Introduction: Face2Gene (FDNA Inc., Boston, MA) is a web application for artificial intelligence-driven facial phenotyping, providing a list of the top thirty candidate syndromes based on gestalts from two-dimensional facial images of patients. Although the effectiveness of Face2Gene for the diagnosis of congenital syndromic disorders has been reported mainly in Caucasian populations, the sensitivities for syndromic endocrine-related disorders and the performa...