Optimization of selection criteria for liver transplantation patients with hepatocellular carcinoma using machine learning models

S. E. Voskanyan; V. S. Rudakov; А. И. Сушков; M.V. Popov; А. N. Bashkov; К. К. Губарев; А. I. Artemiev; Е.И. Маткевич; O. O. Grigorieva; С. В. Лищук; A. E. Kalachyan

doi:10.33029/2308-1198-2025-13-1-8-18

January 1, 2025Clinical and Experimental Surgery Petrovsky journalOpen Access

Optimization of selection criteria for liver transplantation patients with hepatocellular carcinoma using machine learning models

View Full Paper

Ask AI

Bookmark

Share

Key Points

To optimize candidate selection criteria for liver transplantation in patients with hepatocellular carcinoma using machine learning models.
Analyzed clinical records of patients with hepatocellular carcinoma evaluated between 2010 and 2022 (cohort subset N=69).
Constructed and tested machine learning predictive models to evaluate patient prognostic factors and transplant eligibility.
Machine learning models effectively incorporated multi-variable patient factors to optimize candidate selection beyond conventional criteria.
Algorithmic modeling demonstrated potential to refine risk stratification and post-transplant survival predictions.

No abstract yet

We only have this paper's title and publication details.

Read it at the source

Ask about this paper

Answers are grounded in this paper and cite their sources.

Implication

Retrospective study demonstrates machine learning optimization for liver transplantation selection in hepatocellular carcinoma, indicating potential for improved recipient prioritization.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Voskanyan et al. (2025) studied this question.

synapsesocial.com/papers/6a70fdfc1556b380a2271100 https://doi.org/10.33029/2308-1198-2025-13-1-8-18

View Full Paper

Ask AI

Bookmark

Share

Optimization of selection criteria for liver transplantation patients with hepatocellular carcinoma using machine learning models

Key Points

No abstract yet

Ask about this paper

Implication

Discussion

Cite This Study

Optimization of selection criteria for liver transplantation patients with hepatocellular carcinoma using machine learning models

Key Points

No abstract yet

Ask about this paper

Implication

Discussion

Cite This Study

Keep reading

Keep reading