儿科神经科医师的机器学习和人工智能（ML/AI）综述。
Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist.
机构信息
Division of Neurology, Department of Pediatrics, Emory University School of Medicine, Atlanta Georgia; Division of Pediatric Neurology, Children's Healthcare of Atlanta, Atlanta Georgia.
Georgia Institute of Technology, Interactive Computing, Atlanta, Georgia.
出版信息
Pediatr Neurol. 2023 Apr;141:42-51. doi: 10.1016/j.pediatrneurol.2023.01.004. Epub 2023 Jan 13.
Abstract
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.
摘要
人工智能（AI）和机器学习（ML）是 AI 的一个热门分支，越来越多地被应用于医学和医学研究。这篇综述概述了 AI 和机器学习（AI/ML），包括常见术语的定义。我们讨论了 AI 的历史，并提供了 AI/ML 在儿科神经学中的应用实例。例如神经肿瘤学中的影像学、自闭症诊断、图表诊断、癫痫、脑瘫和新生儿神经学。还讨论了监督学习、无监督学习和强化学习等主题。
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