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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.


DOI:10.1016/j.pediatrneurol.2023.01.004
PMID:36773406
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10040433/
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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本文引用的文献

[1]
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead.

Nat Mach Intell. 2019-5

[2]
Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder.

NPJ Digit Med. 2022-5-5

[3]
International consensus on diagnosis and management of Dravet syndrome.

Epilepsia. 2022-7

[4]
Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing.

J Am Med Inform Assoc. 2022-4-13

[5]
Unsupervised seizure identification on EEG.

Comput Methods Programs Biomed. 2022-3

[6]
Multicenter Validation of a Deep Learning Detection Algorithm for Focal Cortical Dysplasia.

Neurology. 2021-10-19

[7]
Artificial intelligence to improve efficiency of administration of gross motor function assessment in children with cerebral palsy.

Dev Med Child Neurol. 2022-2

[8]
Highly accurate protein structure prediction with AlphaFold.

Nature. 2021-8

[9]
Improving early diagnosis of rare diseases using Natural Language Processing in unstructured medical records: an illustration from Dravet syndrome.

Orphanet J Rare Dis. 2021-7-13

[10]
Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.

Neuro Oncol. 2022-2-1

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