Lynn Boswell

Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study

Espen A. F. Ihlen, Ragnhild Støen, Lynn Boswell et al. · Journal of Clinical Medicine · 2019 · 119 citations · Full text

Public Health, Child Health, Human Development +16

Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk

Daniel Groos, Lars Adde, Sindre Aubert et al. · JAMA Network Open · 2022 · 81 citations · Full text

Computing, Computer Science, Pediatrics +15

The Predictive Accuracy of the General Movement Assessment for Cerebral Palsy: A Prospective, Observational Study of High-Risk Infants in a Clinical Follow-Up Setting

Ragnhild Støen, Lynn Boswell, Raye‐Ann de Regnier et al. · Journal of Clinical Medicine · 2019 · 49 citations · Full text

Medicine, Child Health, Pediatrics +17

Inter-observer reliability using the General Movement Assessment is influenced by rater experience

Colleen Peyton, Aurelie Pascal, Lynn Boswell et al. · Early Human Development · 2021 · 19 citations

Education, Kinesiology, Functional Movement Assessment +15

Motor Optimality Scores are significantly lower in a population of high-risk infants than in infants born moderate-late preterm

Colleen Peyton, Ryan Millman, Sarah Hilkert Rodriguez et al. · Early Human Development · 2022 · 14 citations · Full text

Medicine, Child Health, Pediatrics +15