Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence

脑电图 人工智能 数据集 标杆管理 集合(抽象数据类型) 计算机科学 卷积神经网络 神经学 机器学习 心理学 神经科学 业务 营销 程序设计语言
作者
Jesper Tveit,Harald Aurlien,Sergey M. Plis,Vince D. Calhoun,William O. Tatum,Donald L. Schomer,Vibeke Arntsen,F.M.E. Cox,Firas Fahoum,William Gallentine,Elena Gardella,Cecil D. Hahn,Aatif M. Husain,Sudha Kilaru Kessler,Mustafa Aykut Kural,Fábio A. Nascimento,Hatice Tankişi,Line Bédos Ulvin,Richard Wennberg,Sándor Beniczky
出处
期刊:JAMA Neurology [American Medical Association]
卷期号:80 (8): 805-805 被引量:39
标识
DOI:10.1001/jamaneurol.2023.1645
摘要

Electroencephalograms (EEGs) are a fundamental evaluation in neurology but require special expertise unavailable in many regions of the world. Artificial intelligence (AI) has a potential for addressing these unmet needs. Previous AI models address only limited aspects of EEG interpretation such as distinguishing abnormal from normal or identifying epileptiform activity. A comprehensive, fully automated interpretation of routine EEG based on AI suitable for clinical practice is needed.To develop and validate an AI model (Standardized Computer-based Organized Reporting of EEG-Artificial Intelligence [SCORE-AI]) with the ability to distinguish abnormal from normal EEG recordings and to classify abnormal EEG recordings into categories relevant for clinical decision-making: epileptiform-focal, epileptiform-generalized, nonepileptiform-focal, and nonepileptiform-diffuse.In this multicenter diagnostic accuracy study, a convolutional neural network model, SCORE-AI, was developed and validated using EEGs recorded between 2014 and 2020. Data were analyzed from January 17, 2022, until November 14, 2022. A total of 30 493 recordings of patients referred for EEG were included into the development data set annotated by 17 experts. Patients aged more than 3 months and not critically ill were eligible. The SCORE-AI was validated using 3 independent test data sets: a multicenter data set of 100 representative EEGs evaluated by 11 experts, a single-center data set of 9785 EEGs evaluated by 14 experts, and for benchmarking with previously published AI models, a data set of 60 EEGs with external reference standard. No patients who met eligibility criteria were excluded.Diagnostic accuracy, sensitivity, and specificity compared with the experts and the external reference standard of patients' habitual clinical episodes obtained during video-EEG recording.The characteristics of the EEG data sets include development data set (N = 30 493; 14 980 men; median age, 25.3 years [95% CI, 1.3-76.2 years]), multicenter test data set (N = 100; 61 men, median age, 25.8 years [95% CI, 4.1-85.5 years]), single-center test data set (N = 9785; 5168 men; median age, 35.4 years [95% CI, 0.6-87.4 years]), and test data set with external reference standard (N = 60; 27 men; median age, 36 years [95% CI, 3-75 years]). The SCORE-AI achieved high accuracy, with an area under the receiver operating characteristic curve between 0.89 and 0.96 for the different categories of EEG abnormalities, and performance similar to human experts. Benchmarking against 3 previously published AI models was limited to comparing detection of epileptiform abnormalities. The accuracy of SCORE-AI (88.3%; 95% CI, 79.2%-94.9%) was significantly higher than the 3 previously published models (P < .001) and similar to human experts.In this study, SCORE-AI achieved human expert level performance in fully automated interpretation of routine EEGs. Application of SCORE-AI may improve diagnosis and patient care in underserved areas and improve efficiency and consistency in specialized epilepsy centers.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
JL完成签到,获得积分10
1秒前
科目三应助proton采纳,获得10
1秒前
wangwang完成签到,获得积分10
2秒前
FireNow完成签到 ,获得积分10
2秒前
淡定幼荷发布了新的文献求助10
2秒前
恩赐解脱发布了新的文献求助10
2秒前
Atlantis完成签到,获得积分10
2秒前
清水小镇完成签到,获得积分10
2秒前
2秒前
3秒前
yiyilinlin完成签到,获得积分10
3秒前
3秒前
糟糕的盼芙完成签到,获得积分10
3秒前
感动代荷发布了新的文献求助10
3秒前
暮夏子完成签到,获得积分10
3秒前
3秒前
4秒前
外星人完成签到 ,获得积分10
4秒前
儒雅涵易完成签到 ,获得积分10
4秒前
迷你的隶完成签到,获得积分10
4秒前
一路向北4956完成签到,获得积分0
4秒前
李雪松完成签到 ,获得积分10
4秒前
飞快的珩完成签到,获得积分10
4秒前
Nicolas发布了新的文献求助30
5秒前
5秒前
CipherSage应助缓慢钢笔采纳,获得10
5秒前
5秒前
小胡完成签到,获得积分10
6秒前
小小酥发布了新的文献求助10
6秒前
微笑完成签到,获得积分10
6秒前
Lz完成签到,获得积分10
7秒前
7秒前
proton完成签到,获得积分10
8秒前
8秒前
zz完成签到,获得积分10
8秒前
hy完成签到,获得积分10
8秒前
8秒前
小胡发布了新的文献求助10
8秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 1000
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3244993
求助须知:如何正确求助?哪些是违规求助? 2888606
关于积分的说明 8254294
捐赠科研通 2557053
什么是DOI,文献DOI怎么找? 1385683
科研通“疑难数据库(出版商)”最低求助积分说明 650212
邀请新用户注册赠送积分活动 626403