The Spectrum of Severity in 368 Patients with Metopic Craniosynostosis: An Update to the CranioRate™ Machine Learning Algorithm

Presenter Information

Annie Glenney, Drexel College of MedicineFollow
Joseph Mocharnuk, UPMCFollow
Griffin Bins, Wake ForestFollow
Erin Anstadt, UPMCFollow
Lucas Dvoracek, UPMCFollow
Wenzheng Tao, University of UtahFollow
Ross Whitaker, University of UtahFollow
Lisa David, Wake Forest University
David Runyan, UPMC
Jesse Goldstein, UPMCFollow

Presentation Type

Clinical Research

Recommended Citation

Glenney, Annie; Mocharnuk, Joseph; Bins, Griffin; Anstadt, Erin; Dvoracek, Lucas; Tao, Wenzheng; Whitaker, Ross; David, Lisa; Runyan, David; and Goldstein, Jesse, "The Spectrum of Severity in 368 Patients with Metopic Craniosynostosis: An Update to the CranioRate™ Machine Learning Algorithm" (2023). St. Chris Research Day. 21.
https://scholarcommons.towerhealth.org/schc_researchday/2023/clinical_research/21