Advanced prognostic modeling with deep learning: assessing long-term outcomes in liver transplant recipients from deceased and living donors.

Journal: Journal of translational medicine
PMID: 39956905

Abstract

BACKGROUND: Predicting long-term outcomes in liver transplantation remain a challenging endeavor. This research aims to harness the power of deep learning to develop an advanced prognostic model for assessing long-term outcomes, with a specific focus on distinguishing between deceased and living donor transplantation.

Authors

  • C G Raji
    Department of Computer Science, Assumption College Autonomous, Changanassery, Kerala, India.
  • S S Vinod Chandra
    Department of Computer Science, University of Kerala, Thiruvananthapuram, Kerala, India.
  • Noble Gracious
    Department of Nephrology, Medical College, Thiruvananthapuram, Kerala, India.
  • Yamuna R Pillai
    Department of Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India.
  • Abhishek Sasidharan
    Department of Gastroenterology, Queen Elizabeth Hospital Kings Lynn NHS Trust, Norfolk, England.

Keywords

External Resources

Popular Topics
Recent Journals