The Cutting Edge: A Systematic Review of Artificial Intelligence and Machine Learning in Predicting Esophagectomy Outcomes
- DOI
- 10.1016/j.atssr.2026.02.002
- Published
- 2026-09
- Container
- Annals of Thoracic Surgery Short Reports
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.atssr.2026.02.002,
title = {The Cutting Edge: A Systematic Review of Artificial Intelligence and Machine Learning in Predicting Esophagectomy Outcomes},
author = {Divyaam Satija and Ahmed Aly and Theodore Dimitrov and Dev Mookerjee and Jeremy Chang and Junyi Liu and Robert E. Merritt and Yuan Xue and Peter J. Kneuertz},
year = {2026},
journal = {Annals of Thoracic Surgery Short Reports},
doi = {10.1016/j.atssr.2026.02.002},
url = {https://doi.org/10.1016/j.atssr.2026.02.002}
}RIS
TY - JOUR TI - The Cutting Edge: A Systematic Review of Artificial Intelligence and Machine Learning in Predicting Esophagectomy Outcomes AU - Divyaam Satija AU - Ahmed Aly AU - Theodore Dimitrov AU - Dev Mookerjee AU - Jeremy Chang AU - Junyi Liu AU - Robert E. Merritt AU - Yuan Xue AU - Peter J. Kneuertz PY - 2026 JO - Annals of Thoracic Surgery Short Reports DO - 10.1016/j.atssr.2026.02.002 UR - https://doi.org/10.1016/j.atssr.2026.02.002 ER -
APA
Satija, D., Aly, A., Dimitrov, T., Mookerjee, D., Chang, J., Liu, J., Merritt, R. E., Xue, Y., & Kneuertz, P. J. (2026). The Cutting Edge: A Systematic Review of Artificial Intelligence and Machine Learning in Predicting Esophagectomy Outcomes. Annals of Thoracic Surgery Short Reports. https://doi.org/10.1016/j.atssr.2026.02.002
Source records
- crossref · retrieved 2026-09-26T23:35:42.864Z