Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery

Authors

Qilian Tan
Jianjun Zou (ORCID: https://orcid.org/0009-0000-7606-245X)
Xinlong Zhang (ORCID: https://orcid.org/0009-0004-8040-0553)
Anran Dai (ORCID: https://orcid.org/0009-0005-3030-9775)
Yanna Si
Rui Ding (ORCID: https://orcid.org/0000-0001-9730-0744)
Chen Chen (ORCID: https://orcid.org/0000-0001-9832-6647)
Hao Liu (ORCID: https://orcid.org/0000-0001-5293-1024)
Yongjun Li (ORCID: https://orcid.org/0000-0002-4607-4502)
Man Xu (ORCID: https://orcid.org/0000-0001-8276-5362)

Institutions

China Pharmaceutical University (CN)
Sir Run Run Shaw Hospital (CN)
Zhejiang University (CN)
Nanjing Medical University (CN)

Publication Details

Journal: BMC Anesthesiology
Published: 2025-08-05
DOI: https://doi.org/10.1186/s12871-025-03239-z
Citations: 3
Primary Topic: Cardiac, Anesthesia and Surgical Outcomes
Type: article
Field-Weighted Citation Impact: 4.16

Funders

Jiangsu Pharmaceutical Association
National Natural Science Foundation of China
Government of Jiangsu Province
Natural Science Foundation of Jiangsu Province
Six Talent Peaks Project in Jiangsu Province
Natural Science Research of Jiangsu Higher Education Institutions of China

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article

Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery

Qilian Tan, Jianjun Zou, Xinlong Zhang, Anran Dai et al.

Aug 5, 2025

3 citations

BMC Anesthesiology

Cardiac, Anesthesia and Surgical Outcomes

4.16

article

Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery

Qilian Tan, Jianjun Zou, Xinlong Zhang, Anran Dai, Yanna Si, Rui Ding, Chen Chen, Hao Liu, Yongjun Li, Man Xu

August 5, 2025article en

3 citations

Abstract

No abstract available for this paper.

BMC AnesthesiologyVol. 25(1)

China Pharmaceutical University (CN), Sir Run Run Shaw Hospital (CN), Zhejiang University (CN), Nanjing Medical University (CN)

Jiangsu Pharmaceutical Association, National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Six Talent Peaks Project in Jiangsu Province, Natural Science Research of Jiangsu Higher Education Institutions of China

Good health and well-being

Openalex Percentile: Top 5%

Cardiac, Anesthesia and Surgical Outcomes

4.16

DOI Open Access PDF OpenAlex

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Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery — Qilian Tan, Jianjun Zou, et al. · BMC Anesthesiology (2025) | TGRS Research Map | TGRS