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

IMPORTANCE: Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine learning alternatives lack validity. OBJECTIVE: To develop and assess the external validity of a novel deep learning–based...

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Detalles Bibliográficos
Autores principales: Groos, Daniel, Adde, Lars, Aubert, Sindre, Boswell, Lynn, de Regnier, Raye-Ann, Fjørtoft, Toril, Gaebler-Spira, Deborah, Haukeland, Andreas, Loennecken, Marianne, Msall, Michael, Möinichen, Unn Inger, Pascal, Aurelie, Peyton, Colleen, Ramampiaro, Heri, Schreiber, Michael D., Silberg, Inger Elisabeth, Songstad, Nils Thomas, Thomas, Niranjan, Van den Broeck, Christine, Øberg, Gunn Kristin, Ihlen, Espen A.F., Støen, Ragnhild
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274325/
https://www.ncbi.nlm.nih.gov/pubmed/35816301
http://dx.doi.org/10.1001/jamanetworkopen.2022.21325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274325/
https://www.ncbi.nlm.nih.gov/pubmed/35816301
http://dx.doi.org/10.1001/jamanetworkopen.2022.21325

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