Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk.
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| Title: | Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk. |
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| Authors: | Groos D; Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway., Adde L; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.; Clinic of Clinical Services, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Aubert S; Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway., Boswell L; Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois., de Regnier RA; Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.; Northwestern University Feinberg School of Medicine, Chicago, Illinois., Fjørtoft T; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.; Clinic of Clinical Services, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Gaebler-Spira D; Northwestern University Feinberg School of Medicine, Chicago, Illinois.; Shirley Ryan AbilityLab, Chicago, Illinois., Haukeland A; Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway., Loennecken M; Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway., Msall M; Section of Developmental and Behavioral Pediatrics, University of Chicago, Comer Children's Hospital, Chicago, Illinois.; Kennedy Research Center on Neurodevelopmental Disabilities, University of Chicago, Comer Children's Hospital, Chicago, Illinois., Möinichen UI; Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway., Pascal A; Department of Rehabilitation Sciences and Physiotherapy, Ghent University, Ghent, Belgium., Peyton C; Northwestern University Feinberg School of Medicine, Chicago, Illinois.; Department of Pediatrics, University of Chicago, Comer Children's Hospital, Chicago, Illinois., Ramampiaro H; Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway., Schreiber MD; Department of Pediatrics, University of Chicago, Comer Children's Hospital, Chicago, Illinois., Silberg IE; Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway., Songstad NT; Department of Pediatrics and Adolescent Medicine, University Hospital of North Norway, Tromsø, Norway., Thomas N; Department of Neonatology, Christian Medical College Vellore, Vellore, Tamil Nadu, India., Van den Broeck C; Department of Rehabilitation Sciences and Physiotherapy, Ghent University, Ghent, Belgium., Øberg GK; Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway.; Department of Health and Care Sciences, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway., Ihlen EAF; Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway., Støen R; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.; Department of Neonatology, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway. |
| Source: | JAMA network open [JAMA Netw Open] 2022 Jul 01; Vol. 5 (7), pp. e2221325. Date of Electronic Publication: 2022 Jul 01. |
| Publication Type: | Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2574-3805 |
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| DOI: | 10.1001/jamanetworkopen.2022.21325 |
