Health AI Central
Peer-Reviewed Publication
Pediatr Radiol2026September 11, 2026Journal Article

A two-stage deep learning pipeline for automated detection and localization of endotracheal tubes on pediatric chest radiographs: a pilot study.

Hailong Li1,2,3,4, Bohan Zhang5,6,7, Elanchezhian Somasundaram5,6,7,8, Mahdieh Shabanian5,6,7, Zachary Taylor5,6,7, Neeraja Mahalingam5,6,7, Zhixiu Lu5,6, Bin Zhang9,10, Stephen W Standage10,11, Gary R Schooler6,8, Lili He5,6,7,8,12, Alexander J Towbin6,7,8
1Imaging Research Center, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA. Hailong.Li@cchmc.org.
2Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. Hailong.Li@cchmc.org.
3Artificial Intelligence Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. Hailong.Li@cchmc.org.
4Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA. Hailong.Li@cchmc.org.
5Imaging Research Center, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA.
6Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
7Artificial Intelligence Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
8Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
9Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
10Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
11Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
12Computer Science, Biomedical Engineering, Biomedical Informatics, University of Cincinnati, Cincinnati, OH, USA.
PubMed DOI

Abstract

BACKGROUND: Endotracheal tubes (ETTs) are critical life-support devices for mechanically ventilated pediatric patients, yet automated ETT assessment on pediatric chest radiographs (CXRs) remains limited. OBJECTIVE: To develop and evaluate a two-stage deep learning pipeline for automated detection and localization of ETTs on pediatric CXRs. MATERIALS AND METHODS: This retrospective study included…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.