Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk-Reference-Cited by-同舟云学术

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

Published:2022-07-11 Issue:7 Volume:5 Page:e2221325
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Groos Daniel¹,Adde Lars²³,Aubert Sindre⁴,Boswell Lynn⁵,de Regnier Raye-Ann⁵⁶,Fjørtoft Toril²³,Gaebler-Spira Deborah⁶⁷,Haukeland Andreas⁴,Loennecken Marianne⁸,Msall Michael⁹¹⁰,Möinichen Unn Inger⁸,Pascal Aurelie¹¹,Peyton Colleen⁶¹²,Ramampiaro Heri⁴,Schreiber Michael D.¹²,Silberg Inger Elisabeth⁸,Songstad Nils Thomas¹³,Thomas Niranjan¹⁴,Van den Broeck Christine¹¹,Øberg Gunn Kristin⁸¹⁵,Ihlen Espen A.F.¹,Støen Ragnhild²¹⁶

Affiliation:

1. Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway

2. Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway

3. Clinic of Clinical Services, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

4. Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway

5. Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois

6. Northwestern University Feinberg School of Medicine, Chicago, Illinois

7. Shirley Ryan AbilityLab, Chicago, Illinois

8. Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway

9. Section of Developmental and Behavioral Pediatrics, University of Chicago, Comer Children’s Hospital, Chicago, Illinois

10. Kennedy Research Center on Neurodevelopmental Disabilities, University of Chicago, Comer Children’s Hospital, Chicago, Illinois

11. Department of Rehabilitation Sciences and Physiotherapy, Ghent University, Ghent, Belgium

12. Department of Pediatrics, University of Chicago, Comer Children’s Hospital, Chicago, Illinois

13. Department of Pediatrics and Adolescent Medicine, University Hospital of North Norway, Tromsø, Norway

14. Department of Neonatology, Christian Medical College Vellore, Vellore, Tamil Nadu, India

15. Department of Health and Care Sciences, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway

16. Department of Neonatology, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2794119/groos_2022_oi_220608_1656698661.11703.pdf

Reference55 articles.

1. Clinical prognostic messages from a systematic review on cerebral palsy.;Novak;Pediatrics,2012

2. A report: the definition and classification of cerebral palsy April 2006.;Rosenbaum;Dev Med Child Neurol Suppl,2007

3. Development and reliability of a system to classify gross motor function in children with cerebral palsy.;Palisano;Dev Med Child Neurol,1997

4. Early, accurate diagnosis and early intervention in cerebral palsy: advances in diagnosis and treatment.;Novak;JAMA Pediatr,2017

5. Do children really recover better? neurobehavioural plasticity after early brain insult.;Anderson;Brain,2011

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mapping brain development against neurological disorder using contrastive sharing;Expert Systems with Applications;2024-12

2. Identification of Putative Biomarkers in Cerebral Palsy: A Meta-Analysis and Meta-Regression;Pediatric Neurology;2024-12

3. Factors predicting the return of spontaneous circulation rate of cardiopulmonary resuscitation in China: Development and evaluation of predictive nomogram;Heliyon;2024-08

4. Markerless motion analysis to assess reaching-sideways in individuals with dyskinetic cerebral palsy: A validity study;Journal of Biomechanics;2024-08

5. A self-supervised spatio-temporal attention network for video-based 3D infant pose estimation;Medical Image Analysis;2024-08