Skip to main content
Log in

ASO Author Reflections: Use of Machine Learning to Predict Early Recurrence After Resection of Intrahepatic Cholangiocarcinoma

  • ASO Author Reflections
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Choi WJ, Williams PJ, Claasen M, et al. Systematic review and meta-analysis of prognostic factors for early recurrence in intrahepatic cholangiocarcinoma after curative-intent resection. Ann Surg Oncol. 2022;29(7):4337–53.

    Article  Google Scholar 

  2. Buettner S, Galjart B, van Vugt JLA, et al. Performance of prognostic scores and staging systems in predicting long-term survival outcomes after surgery for intrahepatic cholangiocarcinoma. J Surg Oncol. 2017;116(8):1085–95.

    Article  CAS  PubMed  Google Scholar 

  3. Tan YG, Fang AHS, Lim JKS, et al. Incorporating artificial intelligence in urology: supervised machine learning algorithms demonstrate comparative advantage over nomograms in predicting biochemical recurrence after prostatectomy. Prostate. 2022;82(3):298–305.

    Article  CAS  PubMed  Google Scholar 

  4. Alaimo L, Lima AH, Moazzam Z, et al. Development and validation of a machine learning model to predict early recurrence of intrahepatic cholangiocarcinoma. Ann Surg Oncol. 2023. https://doi.org/10.1245/s10434-023-13636-8.

    Article  PubMed  Google Scholar 

  5. Li Z, Yuan L, Zhang C, et al. A novel prognostic scoring system of intrahepatic cholangiocarcinoma with machine learning basing on real-world data. Front Oncol. 2020;10:576901.

    Article  PubMed  Google Scholar 

  6. Acher AW, Paro A, Elfadaly A, et al. Intrahepatic cholangiocarcinoma: a summative review of biomarkers and targeted therapies. Cancers (Basel). 2021;13(20):5169.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Timothy M. Pawlik MD, PhD, MPH, MTS, MBA, FACS, FRACS (Hon.).

Ethics declarations

Disclosures

None declared.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alaimo, L., Pawlik, T.M. ASO Author Reflections: Use of Machine Learning to Predict Early Recurrence After Resection of Intrahepatic Cholangiocarcinoma. Ann Surg Oncol 30, 5416–5417 (2023). https://doi.org/10.1245/s10434-023-13672-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1245/s10434-023-13672-4

Navigation