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Editorial
. 2024 Sep;6(5):e240376.
doi: 10.1148/ryai.240376.

Better AI for Kids: Learning from the AI-OPiNE Study

Patricia P Rafful  1 , Sara Reis Teixeira  1
Affiliations
Editorial

Better AI for Kids: Learning from the AI-OPiNE Study

Patricia P Rafful et al. Radiol Artif Intell. 2024 Sep.
No abstract available

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Conflict of interest statement

Disclosures of conflicts of interest: P.P.R. No relevant relationships. S.R.T. No relevant relationships.

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Patricia P. Rafful, MD, MSc, PhD, is a pediatric neuroradiologist affiliated with the Children’s Hospital of Philadelphia with training at the Hospital for Sick Children, University of Toronto and postdoctorate training in artificial intelligence. Dr Rafful was granted twice the Certification of Merit from RSNA annual meetings. Her research interests focus on neuroconnectivity, brain plasticity, and fetal imaging.
Patricia P. Rafful, MD, MSc, PhD, is a pediatric neuroradiologist affiliated with the Children’s Hospital of Philadelphia with training at the Hospital for Sick Children, University of Toronto and postdoctorate training in artificial intelligence. Dr Rafful was granted twice the Certification of Merit from RSNA annual meetings. Her research interests focus on neuroconnectivity, brain plasticity, and fetal imaging.
Sara Reis Teixeira, MD, PhD, is a pediatric neuroradiologist and pediatric radiologist at the Children’s Hospital of Philadelphia (CHOP) and assistant professor of radiology at Perelman School of Medicine, University of Pennsylvania. Her research interests focus on normal and abnormal brain development, neuroconnectivity, and fetal and neonatal imaging. She is the program director of the CHOP Pediatric Neuroradiology Fellowship program and serves on the ACR Pediatric Imaging Research Committee.
Sara Reis Teixeira, MD, PhD, is a pediatric neuroradiologist and pediatric radiologist at the Children’s Hospital of Philadelphia (CHOP) and assistant professor of radiology at Perelman School of Medicine, University of Pennsylvania. Her research interests focus on normal and abnormal brain development, neuroconnectivity, and fetal and neonatal imaging. She is the program director of the CHOP Pediatric Neuroradiology Fellowship program and serves on the ACR Pediatric Imaging Research Committee.
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References

    1. Lew CO , Calabrese E , Chen JV , et al. . Artificial intelligence outcome prediction in neonates with encephalopathy (AI-OPiNE) . Radiol Artif Intell 2024. ; 6 ( 5 ): e240076 . - PMC - PubMed
    1. Tejani AS , Klontzas ME , Gatti AA , et al. ; CLAIM 2024 Update Panel . Checklist for artificial intelligence in medical imaging (CLAIM): 2024 update . Radiol Artif Intell 2024. ; 6 ( 4 ): e240300 . - PMC - PubMed
    1. Darzidehkalani E , Ghasemi-Rad M , van Ooijen PMA . Federated learning in medical imaging: Part II: Methods, challenges, and considerations . J Am Coll Radiol 2022. ; 19 ( 8 ): 975 – 982 . - PubMed
    1. Willemink MJ , Koszek WA , Hardell C , et al. . Preparing medical imaging data for machine learning . Radiology 2020. ; 295 ( 1 ): 4 – 15 . - PMC - PubMed
    1. Trivedi SB , Vesoulis ZA , Rao R , et al. . A validated clinical MRI injury scoring system in neonatal hypoxic-ischemic encephalopathy . Pediatr Radiol 2017. ; 47 ( 11 ): 1491 – 1499 . - PMC - PubMed

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