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Facial recognition software in clinical dysmorphology

Hurst, Anna C.E.

doi: 10.1097/MOP.0000000000000677
GENETICS: Edited by Nathaniel H. Robin
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Purpose of review The current review aims to discuss the incorporation of facial recognition software into the clinical practice of dysmorphology and medical genetics.

Recent findings Facial recognition software has improved the process of generating a differential diagnosis for rare genetic syndromes, and recent publications demonstrate utility in both research and clinical applications. Software programs are freely available to verified medical providers and can be incorporated into routine clinic encounters.

Summary As facial recognition software capabilities improve, two-dimensional image capture with artificial intelligence interpretation may become a useful tool within many areas of medicine. Geneticists and researchers can use such software to enhance their differential diagnoses, to study similarities and differences between patient cohorts, and to improve the interpretation of genomic data. Pediatricians and subspecialists may use tools to identify patients who may benefit from a genetic evaluation, and educators can use these tools to interest students in the study of dysmorphoplogy and genetic syndromes.

Department of Genetics, University of Alabama at Birmingham, Birmingham, USA

Correspondence to Anna C.E. Hurst, Department of Genetics, University of Alabama at Birmingham, Kaul 210C, 720 20th St South, Birmingham AL 35226, USA. Tel: +1 205 934 4983; e-mail: acehurst@uab.edu

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