Computer-aided Facial Analysis in Diagnosing Dysmorphic Syndromes in Indian Children

OBJECTIVE: To assess the utility of computer-aided facial analysis in identifying dysmorphic syndromes in Indian children. METHODS: Fifty-one patients with a definite molecular or cytogenetic diagnosis and recognizable facial dysmorphism were enrolled in the study and their facial photographs were uploaded in the Face2Gene software. The results provided by the software were compared with the molecular diagnosis. RESULTS: Of the 51 patients, the software predicted the correct diagnosis in 37 patients (72.5%); predicted as the first in the top ten suggestions in 26 (70.2%). In 14 patients, the software did not suggest a correct diagnosis. CONCLUSIONS: Computer-aided facial analysis is a method that can aid in diagnosis of genetic syndromes in Indian children. As more clinicians start to use this software, its accuracy is expected to improve.