Machine Learning–Driven Clinical Image Analysis to Identify Craniosynostosis: A Pilot Study of Telemedicine and Clinic Patients

CONCLUSION: Machine learning–driven image analysis represents a promising strategy for the identification of craniosynostosis in a real-world practice setting. This approach has potential to reduce the need for imaging and facilitate referral by primary care providers.
Source: Neurosurgery - Category: Neurosurgery Tags: Research—Human—Clinical Studies: Pediatrics Source Type: research