机器学习和人工智能（ML/AI）对儿科神经科医生的评估。
Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist.
发表日期：2023 Jan 13
作者：
Grace Y Gombolay, Nakul Gopalan, Andrea Bernasconi, Rima Nabbout, Jonathan T Megerian, Benjamin Siegel, Jamika Hallman-Cooper, Sonam Bhalla, Matthew C Gombolay
来源：
PEDIATRIC NEUROLOGY
摘要：
人工智能（AI）及其流行的一种分支——机器学习（ML）在医学和医学研究中越来越广泛地应用。本文提供了AI/ML的概述，包括常见术语的定义。我们将讨论AI的历史，并举例说明AI/ML能够应用于儿科神经学。例如，神经肿瘤影像学、自闭症诊断、病历诊断、癫痫、脑性瘫痪和新生儿神经学。我们还将讨论监督学习、非监督学习和强化学习等主题。版权所有 ©2023 Elsevier Inc.。保留所有权利。
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.Copyright © 2023 Elsevier Inc. All rights reserved.