Date: March 2022.
Source: 2022 American Cleft Palate-Craniofacial Association (ACPA) 79th Annual Meeting, Fort Worth, Texas.
Abstract: We present an age-dependent statistical head shape model and automated machine learning methods for objective head shape evaluation of CT images or 3D photographs. Our results show a significant improvement compared to previous age-agnostic models and encourage the clinical use of 3D photogrammetry to reduce exposure to radiation of children.

Article: Age-dependent machine learning model improves head shape characterization and provides longitudinal evaluation of patients with craniosynostosis
Authors: Colorado Children’s Hospital

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