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Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist.
Gombolay, Grace Y; Gopalan, Nakul; Bernasconi, Andrea; Nabbout, Rima; Megerian, Jonathan T; Siegel, Benjamin; Hallman-Cooper, Jamika; Bhalla, Sonam; Gombolay, Matthew C.
Affiliation
  • Gombolay GY; Division of Neurology, Department of Pediatrics, Emory University School of Medicine, Atlanta Georgia; Division of Pediatric Neurology, Children's Healthcare of Atlanta, Atlanta Georgia. Electronic address: ggombol@emory.edu.
  • Gopalan N; Georgia Institute of Technology, Interactive Computing, Atlanta, Georgia.
  • Bernasconi A; Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, UK.
  • Nabbout R; Department of Pediatric Neurology, Necker Enfants Malades Hospital, Reference Centre for Rare Epilepsies and Member of the ERN EpiCARE, Imagine Institute UMR1163, Paris Descartes University, Paris, France.
  • Megerian JT; Department of Pediatrics, CHOC Children's, Irvine School of Medicine, University of California, Orange, California.
  • Siegel B; Division of Neurology, Department of Pediatrics, Emory University School of Medicine, Atlanta Georgia; Division of Pediatric Neurology, Children's Healthcare of Atlanta, Atlanta Georgia.
  • Hallman-Cooper J; Division of Neurology, Department of Pediatrics, Emory University School of Medicine, Atlanta Georgia; Division of Pediatric Neurology, Children's Healthcare of Atlanta, Atlanta Georgia.
  • Bhalla S; Division of Neurology, Department of Pediatrics, Emory University School of Medicine, Atlanta Georgia; Division of Pediatric Neurology, Children's Healthcare of Atlanta, Atlanta Georgia.
  • Gombolay MC; Georgia Institute of Technology, Interactive Computing, Atlanta, Georgia.
Pediatr Neurol ; 141: 42-51, 2023 04.
Article in En | MEDLINE | ID: mdl-36773406
Artificial intelligence (AI) and a popular branch of AI known as machine learning (ML) are increasingly being utilized in medicine and to inform medical research. This review provides an overview of AI and ML (AI/ML), including definitions of common terms. We discuss the history of AI and provide instances of how AI/ML can be applied to pediatric neurology. Examples include imaging in neuro-oncology, autism diagnosis, diagnosis from charts, epilepsy, cerebral palsy, and neonatal neurology. Topics such as supervised learning, unsupervised learning, and reinforcement learning are discussed.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Neurologists Limits: Child / Humans / Newborn Language: En Journal: Pediatr Neurol Journal subject: NEUROLOGIA / PEDIATRIA Year: 2023 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Neurologists Limits: Child / Humans / Newborn Language: En Journal: Pediatr Neurol Journal subject: NEUROLOGIA / PEDIATRIA Year: 2023 Document type: Article Country of publication: