Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis

Xiong, Yaxin; Gao, Yuan; Qi, Yucheng; Zhi, Yingfei; Xu, Jia; Wang, Kuo; Yang, Qiuyue; Wang, Changsong; Zhao, Mingyan; Meng, Xianglin

doi:10.1186/s12911-025-02869-0

BMC Medical Informatics and Decision Making

Table 1 Characteristics of the included studies

From: Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis

Author, Year	Country	Selected time	Study type	Single/Multi-center	Database	Model	Patients（n）	ARDS Incidence (%)	Method of validation
Kai Chih Pai 2022 [19]	Taiwan of China	2018.10-2019.12	Retrospective	Single center	Taichung Veterans General Hospital	XGB,RF,LR,XGB+RF+LR,CNN,XGB+CNN,RF+CNN,LR+CNN,XGB+RF+LR+CNN	1577	24.29	five-fold cross-validation
Negar Farzaneh 2023 [22]	America	2017	Retrospective	Multi-center	CheXpert, MIMIC-CXR,University of Michigan	CNN	115	26.09	/
Yang Zhou 2023 [23]	China	2022.4-2022.6	Retrospective	Single center	Shanghai Renji Hospital	CNN,XGB,XGB+CNN	31	12.9	five-fold cross-validation
Michael W Sjoding 2021 [24]	America	2016.1.1-2017.6 30/2017.7.1-12.1/2015.11-2017.12.31	Retrospective	Multi-center	CheXpert, MIMIC-CXR, University of Michigan, Hospital of the University of Pennsylvania	CNN	1560	28.08	/
Hyun Woo Lee 2023 [25]	Korea	2020.2-2020.10	Retrospective	Multi-center	Boramae Medical Center, Korean Imaging Cohort of COVID-19(KICC-19)	faster-RCNN,LR1,LR2	467	9.85	/
Yuntian Chen 2020 [31]	China	2020.1.20-2020.3.31	Retrospective	Single center	Chengdu Public Health Center	LR	105	14.29	/
Mehak Arora 2023 [37]	America	2015.8-2019.5	Retrospective	Multi-center	MIMIC-CXR, Emory University Hospital	CNN	1639	61.56	ten-fold cross-validation
Suganya D 2023 [30]	India	/	Retrospective	Multi-center	publicly available datasets (https://github.com/mr7495/COVID-CTset),be created by fusing multiple images from different source	Mask R-CNN	12452	6.87	five-fold cross-validation
Nesrine Zaglam 2014 [10]	Canada	/	Retrospective	Single center	a previous clinical database	SVM	90	58.89	/
Sebastian Röhrich 2021 [15]	Austria	/	Retrospective	Single center	Med Univ Vienna	GBT	123	32.52	forty-fold cross-validation
Yang Fei 2018 [20]	China	2015.1-2018.4	Retrospective	Multi-center	Medical School of Nanjing University, Jinling Hospital, Nanjing General Hospital of Nanjing Military Region	ANNs,LR	32	21.88	five-fold cross-validation
Zara Izadi 2022 [26]	America	2020.3.24-2021.5.12	Retrospective	Multi-center	the COVID‐19 Global Rheumatology Alliance	KNN,SVM,GLMNET,BAYESGLM,GAM,GBM,NN,multivariate LR	891	3.93	ten-fold cross-validation
Mengran Zhang 2023 [12]	China	2017.1-2022 .8	Retrospective	Single center	Xuanwu Hospital of Capital Medical University	SVM,EDTs,BC,LR	92	18.48	five-fold cross-validation
Pengcheng Yang 2020 [28]	China	2001-2012	Retrospective	Single center	MIMIC-III	SLP-FNN,L2-LR,AdaBoost,XGBoost	47352	76.83	ten-fold cross-validation
Menglian Zhou 2019 [16]	America	/	Retrospective	Single center	University of Michigan	ML+PCA+LDA	85	48.24	four-fold cross-validation
Wan Xu 2021 [33]	China	2020.1.22-2020.4.1	Retrospective	Multi-center	hospitals from 11 regions: NingBo, ZhouShan, HuBei, Lishui, Jiaxin, HangZhou, TaiZhou, DongYang, ShaoXing, WenZhou, HuZhou	DT,LR,RF,SVM,DNN	71	19.72	ten-fold cross-validation
Jipeng Mo 2023 [34]	China	2018.2-2021.2	Retrospective	Multi-center	Changzhou Second People's Hospital, Jiangsu Provincial People's Hospital, Nanjing Military Region General Hospital, Wuxi Fifth People's Hospital	ANN	288	37.15	/
Kang Zou 2023 [35]	China	2013.7-2022.4	Retrospective	Single center	Hospital of Southwest Medical University	ANN,LR	64	38.01	five-fold cross-validation
Wanyue Zhang 2023 [36]	China	2017.8-2022 .8	Retrospective	Single center	Zhongda hospital	LR,RF,SVM,DT,XGB	308	50.97	five-fold cross-validation
Gregory B Rehm 2021 [38]	America	2015-2019	Retrospective	Single center	UC Davis Medical Center	RF,NN,Adaboost ,LR,Naïve Bayes,SVM	100	50	five-fold cross-validation
Majid Afshar 2018 [9]	America	2011.1.1-2016.12.31	Retrospective	Single center	a tertiary academic center	SVM	106	25.47	ten-fold cross-validation
Amir Gandomi 2022 [8]	America	2001-2012	Retrospective	Single center	MIMIC-III	linear SVM	300	23.67	five-fold cross-validation
Zhiwei Yang 2022 [21]	China	2017.4.10-2021.10 .31	Retrospective	Single center	Hebei General Hospital	multivariate LR	516	42.05	/
Sidney Le 2020 [18]	England	2001-2012	Retrospective	Single center	MIMIC-III	XGBoost	9251	3.2	ten-fold cross-validation
Marshall C.E. 2023 [14]	America	2016.10-2018.9	Retrospective	Single center	Emory University Healthcare ICUs	XGB	2078	6.16	/
Anoop Mayampurath 2020 [2]	America	/	Retrospective	Multi-center	Loyola University Medical Center,University of Chicago Medicine	SVM	235	46.81	/
Yu Wang 2023 [11]	China	2021.4-2021.7/2021.8- 2022.7/2023.1-2023.3	Retrospective	Single center	Union Hospital of Tongji Medical College Hospital	SLR	150	66.67	ten-fold cross-validation
Xiaoqiang Wang 2023 [29]	China	2019.1.1 - 2020.12.31	Retrospective	Single center	Eastern Hepatobiliary Surgery Hospital,Shanghai,China	LR,LASSO regression	542	5.72	ten-fold cross-validation
Elyas Sabeti 2021 [13]	America	/	Retrospective	Single center	University of Michigan Hospital	SVM,SVM+	9362	7.71	five-fold cross-validation
Pengcheng Yang 2019 [32]	China	2001-2012	Retrospective	Single center	MIMIC-III	ANNs,LR,AdaBoost,Bagging	7529	22.18	ten-fold cross-validation
Carson Lam 2021 [17]	America	2019.5.1-2021.5.1	Retrospective	Multi-center	7 US hospitals	RNN	3457	97.86	/
Jipeng Mo 2022 [27]	China	2020.2-2021.2	Retrospective	Multi-center	Changzhou Second People's Hospital,Jiangsu Provincial People's Hospital,Nanjing Military Region General Hospital,Wuxi Fifth People's Hospital	ANNs	124	17.74	/
Weiwei Lu 2023 [39]	China	2015-2020	Retrospective	Single center	Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine	XGBoost,SVM,ANNs,LR,RF	308	7.79	ten-fold cross-validation

XGB Xtreme Gradient Boosting, RF Random forest, LR Logistic regression, CNN Convolutional neural network, SVM Support vector machine, GBT Gradient boosted trees, KNN k-nearest neighbors, GLMNET The lasso and elastic-net regularized generalized linear models, BAYESGLM Bayesian generalized linear models, GAM Generalized additive models, GBM Gradient boosting machines, NN Neural networks, EDTs Ensembles of Decision Trees, BC Bayesian Classifier, SLP-FNN Single hidden layer feedforward neural network, L2-LR L2 regularized logistic regression, AdaBoost Adaptive boosting, ML Machine learning, PCA Principal Component Analysis, LDA Linear Discriminant Analysis, DT Decision tree, DNN Deep Neural Network, ANN Artificial neural network, NLP Natural Language Processing, RNN Recurrent Neural Network, SLR Stepwise logistic regression algorithm

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ISSN: 1472-6947

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