International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs
- DOI
- 10.1056/aioa2500522
- Published
- 2026-01-01
- Container
- NEJM AI
- Publisher
- Massachusetts Medical Society
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1056/aioa2500522,
title = {International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs},
author = {Emma Chen and Agustina Saenz and Oishi Banerjee and Henrik Marklund and Xiaoman Zhang and Shreya Johri and Hong-Yu Zhou and Luyang Luo and Subathra Adithan and Kay Wu and Siddhant Dogra and Vijay Janapa Reddi and Dominic Buensalido and Helen Kavnoudias and Roman Kloeckner and Lukas Müller and Emmanuel Salinas-Miranda and Maria José Veloza Vega and Johannes Kolck and Tobias Penzkofer and Daiju Ueda and Shannon L. Walston and Armin Alvaro Quispe-Cornejo and Michele Salvagno and Christopher Lee and Jonathan Fournier and Rosa Patricia Castillo and Cibele Luna and Tara Bahramipour and Amanda Zuback and Rickmer Braren and Petra Jiraskova and Yutthaphan Wannasopha and Piyapong Khumrin and Desmond Lim Shi Wei Wei and James Thomas Patrick Decourcy Hallinan and Zhicheng Jiao and Thomas Yi and Juana Maria Plasencia Martinez and Nuria Isabel Casado Alarcon and Franz A. Fellner and Julian F. Niedermair and Derek Wu and Dongkeun Kim and Johannes Haubold and Lars Heiliger and Daniel Pérez-Chada and Pablo Pratesi and Ryan Cummings and Narges Razavian and Anastasia Oikonomou and William T. Tran and Thomas Küstner and Saif Afat and Adrienne N. Dula and Justin F. Rousseau and Franko Hržić and Michael Fuchsjäger and Pranav Rajpurkar},
year = {2026},
journal = {NEJM AI},
doi = {10.1056/aioa2500522},
url = {https://doi.org/10.1056/aioa2500522}
}RIS
TY - JOUR TI - International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs AU - Emma Chen AU - Agustina Saenz AU - Oishi Banerjee AU - Henrik Marklund AU - Xiaoman Zhang AU - Shreya Johri AU - Hong-Yu Zhou AU - Luyang Luo AU - Subathra Adithan AU - Kay Wu AU - Siddhant Dogra AU - Vijay Janapa Reddi AU - Dominic Buensalido AU - Helen Kavnoudias AU - Roman Kloeckner AU - Lukas Müller AU - Emmanuel Salinas-Miranda AU - Maria José Veloza Vega AU - Johannes Kolck AU - Tobias Penzkofer AU - Daiju Ueda AU - Shannon L. Walston AU - Armin Alvaro Quispe-Cornejo AU - Michele Salvagno AU - Christopher Lee AU - Jonathan Fournier AU - Rosa Patricia Castillo AU - Cibele Luna AU - Tara Bahramipour AU - Amanda Zuback AU - Rickmer Braren AU - Petra Jiraskova AU - Yutthaphan Wannasopha AU - Piyapong Khumrin AU - Desmond Lim Shi Wei Wei AU - James Thomas Patrick Decourcy Hallinan AU - Zhicheng Jiao AU - Thomas Yi AU - Juana Maria Plasencia Martinez AU - Nuria Isabel Casado Alarcon AU - Franz A. Fellner AU - Julian F. Niedermair AU - Derek Wu AU - Dongkeun Kim AU - Johannes Haubold AU - Lars Heiliger AU - Daniel Pérez-Chada AU - Pablo Pratesi AU - Ryan Cummings AU - Narges Razavian AU - Anastasia Oikonomou AU - William T. Tran AU - Thomas Küstner AU - Saif Afat AU - Adrienne N. Dula AU - Justin F. Rousseau AU - Franko Hržić AU - Michael Fuchsjäger AU - Pranav Rajpurkar PY - 2026 JO - NEJM AI DO - 10.1056/aioa2500522 UR - https://doi.org/10.1056/aioa2500522 ER -
APA
Chen, E., Saenz, A., Banerjee, O., Marklund, H., Zhang, X., Johri, S., Zhou, H., Luo, L., Adithan, S., Wu, K., Dogra, S., Reddi, V. J., Buensalido, D., Kavnoudias, H., Kloeckner, R., Müller, L., Salinas-Miranda, E., Vega, M. J. V., Kolck, J., Penzkofer, T., Ueda, D., Walston, S. L., Quispe-Cornejo, A. A., Salvagno, M., Lee, C., Fournier, J., Castillo, R. P., Luna, C., Bahramipour, T., Zuback, A., Braren, R., Jiraskova, P., Wannasopha, Y., Khumrin, P., Wei, D. L. S. W., Hallinan, J. T. P. D., Jiao, Z., Yi, T., Martinez, J. M. P., Alarcon, N. I. C., Fellner, F. A., Niedermair, J. F., Wu, D., Kim, D., Haubold, J., Heiliger, L., Pérez-Chada, D., Pratesi, P., Cummings, R., Razavian, N., Oikonomou, A., Tran, W. T., Küstner, T., Afat, S., Dula, A. N., Rousseau, J. F., Hržić, F., Fuchsjäger, M., & Rajpurkar, P. (2026). International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs. NEJM AI. https://doi.org/10.1056/aioa2500522
Source records
- crossref · retrieved 2026-11-10T10:38:39.373Z