{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T08:16:37Z","timestamp":1791965797198,"version":"4.3.4"},"reference-count":30,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T00:00:00Z","timestamp":1650931200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["academicradiology.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Academic Radiology"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1016\/j.acra.2022.04.022","type":"journal-article","created":{"date-parts":[[2022,5,27]],"date-time":"2022-05-27T00:59:36Z","timestamp":1653613176000},"page":"412-420","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":25,"title":["Automated Endotracheal Tube Placement Check Using Semantically Embedded Deep Neural Networks"],"prefix":"10.1016","volume":"30","author":[{"given":"Matthew S.","family":"Brown","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koon-Pong","family":"Wong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liza","family":"Shrestha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Wahi-Anwar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Morgan","family":"Daly","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George","family":"Foster","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fereidoun","family":"Abtin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathleen L.","family":"Ruchalski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan G.","family":"Goldin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dieter","family":"Enzmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5S","key":"10.1016\/j.acra.2022.04.022_bib0001","doi-asserted-by":"crossref","first-page":"S62","DOI":"10.1016\/j.jacr.2021.01.017","article-title":"ACR appropriateness criteria: Intensive care unit patients","volume":"18","author":"Laroia","year":"2021","journal-title":"J Am Coll Radiol"},{"issue":"5","key":"10.1016\/j.acra.2022.04.022_bib0002","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1378\/chest.96.5.1043","article-title":"Assessment of routine chest roentgenograms and the physical examination to confirm endotracheal tube position","volume":"96","author":"Brunel","year":"1989","journal-title":"Chest"},{"issue":"11","key":"10.1016\/j.acra.2022.04.022_bib0003","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1097\/00003246-199211000-00006","article-title":"Value of postprocedural chest radiographs in the adult intensive care unit","volume":"20","author":"Gary","year":"1992","journal-title":"Crit Care Med"},{"issue":"2","key":"10.1016\/j.acra.2022.04.022_bib0004","doi-asserted-by":"crossref","first-page":"95","DOI":"10.4037\/ajcc1997.6.2.95","article-title":"The impact of routine chest radiography on ICU management decisions: an observational study","volume":"6","author":"Marik","year":"1997","journal-title":"Am J Crit Care"},{"issue":"4","key":"10.1016\/j.acra.2022.04.022_bib0005","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1177\/0885066603251897","article-title":"Radiology in the intensive care unit (Part I)","volume":"18","author":"Trotman-Dickenson","year":"2003","journal-title":"J Intensive Care Med"},{"issue":"3","key":"10.1016\/j.acra.2022.04.022_bib0006","doi-asserted-by":"crossref","first-page":"563","DOI":"10.2214\/AJR.10.7226","article-title":"Chest radiography in the ICU: part 1, evaluation of airway, enteric, and pleural tubes","volume":"198","author":"Godoy","year":"2012","journal-title":"Am J Roentgenol"},{"issue":"3","key":"10.1016\/j.acra.2022.04.022_bib0007","doi-asserted-by":"crossref","first-page":"433","DOI":"10.2214\/ajr.127.3.433","article-title":"Radiographic evaluation of endotracheal tube position","volume":"127","author":"Goodman","year":"1976","journal-title":"Am J Roentgenol"},{"issue":"1","key":"10.1016\/j.acra.2022.04.022_bib0008","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1111\/j.1553-2712.1995.tb03073.x","article-title":"Proper depth of placement of oral endotracheal tubes in adults prior to radiographic confirmation","volume":"2","author":"Roberts","year":"1995","journal-title":"Acad Emerg Med"},{"issue":"1","key":"10.1016\/j.acra.2022.04.022_bib0009","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/S0272-5231(21)00732-2","article-title":"Imaging of the intensive care unit patient","volume":"12","author":"Wiener","year":"1991","journal-title":"Clin Chest Med"},{"issue":"1","key":"10.1016\/j.acra.2022.04.022_bib0010","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1109\/TITB.2004.837854","article-title":"Database design and implementation for quantitative image analysis research","volume":"9","author":"Brown","year":"2005","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"6","key":"10.1016\/j.acra.2022.04.022_bib0011","doi-asserted-by":"crossref","first-page":"828","DOI":"10.1109\/42.650879","article-title":"Method for segmenting chest CT image data using an anatomical model: preliminary results","volume":"16","author":"Brown","year":"1997","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.acra.2022.04.022_bib0012","series-title":"Proceedings of the 25th International Conference on Neural Information Processing Systems (NIPS 2012)","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"1","author":"Krizhevsky","year":"2012"},{"key":"10.1016\/j.acra.2022.04.022_bib0013","unstructured":"Zhang M, Nye K, Avinash G, et al. Leveraging deep learning artificial intelligence to conduct quality control on chest X-ray images. American Association of Physicists in Medicine (AAPM) Annual Meeting 2018. Available at: http:\/\/amos3.aapm.org\/abstracts\/pdf\/134-38613-437584-135062-1245313483.pdf. Accessed November 16, 2021."},{"key":"10.1016\/j.acra.2022.04.022_bib0014","unstructured":"Younis K, Soni R, Zhang M, et al. Leveraging deep learning artificial intelligence in detecting the orientation of chest X-ray images. Society for Imaging Informatics in Medicine (SIIM), Conference on Machine Intelligence in Medical Imaging (CMIMI) 2019. Available at: https:\/\/cdn.ymaws.com\/siim.org\/resource\/resmgr\/mimi19\/oral5\/Leveraging_Deep_Learning_Kha.pdf. Accessed November 16, 2021."},{"key":"10.1016\/j.acra.2022.04.022_bib0015","series-title":"Society for Imaging Informatics in Medicine (SIIM), Conference on Machine Intelligence in Medical Imaging (CMIMI)","article-title":"Leveraging deep learning for orientation detection and correction of X-ray images","author":"Younis","year":"2020"},{"issue":"1","key":"10.1016\/j.acra.2022.04.022_bib0016","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.media.2005.02.002","article-title":"Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database","volume":"10","author":"Ginneken","year":"2006","journal-title":"Med Image Anal"},{"key":"10.1016\/j.acra.2022.04.022_bib0017","doi-asserted-by":"crossref","unstructured":"Frid-Adar M, Ben-Cohen A, Amer R, et al. Improving the segmentation of anatomical structures in chest radiographs using U-net with an ImageNet pre-trained encoder. In: Stoyanov D, et al. (eds) RAMBO\/BIA\/TIA-2018. Lecture notes in computer science, Springer, 2018;11040:159-168. doi: 10.1007\/978-3-030-00946-5_17.","DOI":"10.1007\/978-3-030-00946-5_17"},{"issue":"11","key":"10.1016\/j.acra.2022.04.022_bib0018","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1002686","article-title":"Deep learning for chest radiograph diagnosis: a retrospective comparison of the CheXNeXt algorithm to practicing radiologists","volume":"15","author":"Rajpurkar","year":"2018","journal-title":"PLoS Med"},{"issue":"11","key":"10.1016\/j.acra.2022.04.022_bib0019","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1002697","article-title":"Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: a retrospective study","volume":"15","author":"Taylor","year":"2018","journal-title":"PLOS Med"},{"issue":"11","key":"10.1016\/j.acra.2022.04.022_bib0020","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0242013","article-title":"CheXLocNet: automatic localization of pneumothorax in chest radiographs using deep convolutional neural networks","volume":"15","author":"Wang","year":"2020","journal-title":"PLOS One"},{"key":"10.1016\/j.acra.2022.04.022_bib0021","doi-asserted-by":"crossref","first-page":"854","DOI":"10.1007\/s10489-020-01829-7","article-title":"Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network","volume":"51","author":"Abbas","year":"2021","journal-title":"Applied Intelligence"},{"key":"10.1016\/j.acra.2022.04.022_bib0022","doi-asserted-by":"crossref","DOI":"10.1155\/2021\/8854892","article-title":"Pneumonia detection using an improved algorithm based on faster R-CNN","volume":"2021","author":"Yao","year":"2021","journal-title":"Comput Math Methods Med"},{"issue":"4","key":"10.1016\/j.acra.2022.04.022_bib0023","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1007\/s10278-017-9980-7","article-title":"Deep convolutional neural networks for endotracheal tube position and X-ray image classification: challenges and opportunities","volume":"30","author":"Lakhani","year":"2017","journal-title":"J Digit Imaging"},{"issue":"1","key":"10.1016\/j.acra.2022.04.022_bib0024","article-title":"Endotracheal tube position assessment on chest radiographs using deep learning","volume":"3","author":"Lakhani","year":"2021","journal-title":"Radiology"},{"issue":"4","key":"10.1016\/j.acra.2022.04.022_bib0025","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1007\/s10278-021-00463-0","article-title":"Identification and localization of endotracheal tube on chest radiographs using a cascaded convolutional neural network approach","volume":"34","author":"Kara","year":"2021","journal-title":"J Digit Imaging"},{"issue":"4","key":"10.1016\/j.acra.2022.04.022_bib0026","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1007\/s10278-021-00495-6","article-title":"Measurement of endotracheal tube positioning on chest X-Ray using object detection","volume":"34","author":"Harris","year":"2021","journal-title":"J Digit Imaging"},{"issue":"1","key":"10.1016\/j.acra.2022.04.022_bib0027","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cmpb.2014.10.009","article-title":"Automated detection of endotracheal tubes in paediatric chest radiographs","volume":"118","author":"Kao","year":"2015","journal-title":"Comput Methods Programs Biomed"},{"key":"10.1016\/j.acra.2022.04.022_bib0028","series-title":"Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83150R","article-title":"An improved automatic computer aided tube detection and labeling system on chest radiographs","author":"Ramakrishna","year":"2012"},{"issue":"11","key":"10.1016\/j.acra.2022.04.022_bib0029","doi-asserted-by":"crossref","first-page":"2049","DOI":"10.1007\/s11548-016-1430-3","article-title":"Endotracheal tubes positioning detection in adult portable chest radiography for intensive care unit","volume":"11","author":"Chen","year":"2016","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"10.1016\/j.acra.2022.04.022_bib0030","doi-asserted-by":"crossref","unstructured":"Frid-Adar M, Amer R, Greenspan H. Endotracheal tube detection and segmentation in chest radiographs using synthetic data. In: Shen D, et al. (eds) Medical image computing and computer assisted intervention \u2013 MICCAI 2019. Lecture notes in computer science, Springer, 2019;11769:784-792. doi:10.1007\/978-3-030-32226-7_87.","DOI":"10.1007\/978-3-030-32226-7_87"}],"container-title":["Academic Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633222002690?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633222002690?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T08:55:55Z","timestamp":1761036955000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1076633222002690"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["S1076633222002690"],"URL":"https:\/\/doi.org\/10.1016\/j.acra.2022.04.022","relation":{},"ISSN":["1076-6332"],"issn-type":[{"value":"1076-6332","type":"print"}],"subject":[],"published":{"date-parts":[[2023,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Automated Endotracheal Tube Placement Check Using Semantically Embedded Deep Neural Networks","name":"articletitle","label":"Article Title"},{"value":"Academic Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.acra.2022.04.022","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Association of University Radiologists. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}