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Related Concept Videos

Kidney Transplant I: Introduction01:28

Kidney Transplant I: Introduction

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A kidney transplant is a surgical approach that involves replacing a non-functioning kidney with a healthy one from a donor. This procedure is often a treatment option for end-stage renal disease (ESRD) patients. The method requires careful recipient selection, including evaluating various medical and psychosocial factors. These criteria vary between transplant centers but generally include assessments of the patient's overall health, adherence to medical recommendations, and lifestyle...
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Tissue Transplantation01:24

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Tissue transplantation is a significant medical procedure involving the transfer of cells, tissues, or organs from a donor to a recipient, with the primary aim of restoring lost functions. This procedure is crucial in treating a broad spectrum of diseases, including kidney diseases, liver failure, heart disease, and certain types of cancers.
The Biology of Tissue Transplantation
The biology of tissue transplantation hinges on the Major Histocompatibility Complex (MHC) molecules. These molecules...
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Preoperative ManagementThe primary goals of preoperative management in kidney transplantation are to optimize the patient’s metabolic state and prepare them for surgery through diet adjustments, necessary dialysis, and tailored medical treatment. This phase also involves comprehensive infection screening and patient education about the surgical procedure and postoperative care to improve outcomes and adherence.Medical ManagementA comprehensive evaluation is required for both the living...
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Artificial Intelligence Advances in Transplant Pathology.

Md Arafatur Rahman1,2, Ibrahim Yilmaz1,3, Sam T Albadri1

  • 1Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL 32224, USA.

Bioengineering (Basel, Switzerland)
|September 28, 2023
PubMed
Summary

Artificial intelligence (AI) in transplant pathology aids in monitoring organ rejection and drug weaning. AI-powered digital pathology shows promise for improving transplant recipient outcomes through enhanced diagnostics.

Keywords:
artificial intelligencedigital pathologyheart transplantkidney transplantliver transplantlung transplanttransplant pathology

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Area of Science:

  • Transplant pathology
  • Digital pathology
  • Artificial intelligence in medicine

Background:

  • Accurate diagnosis and timely treatment are crucial for transplant recipient outcomes.
  • Monitoring allograft rejection and immunosuppressive drug weaning are key challenges.
  • Artificial intelligence (AI) is emerging as a tool to enhance digital pathology for transplant assessment.

Purpose of the Study:

  • To systematically review the role and applications of AI in transplant pathology.
  • To identify AI approaches used for analyzing digital pathology slides of transplanted organs.
  • To assess the potential of AI in improving diagnostic accuracy and patient outcomes.

Main Methods:

  • Systematic literature search of electronic databases (January 2010 - April 2023).
  • PRISMA checklist used for article screening (title, abstract, full text).
  • Inclusion of 14 articles focusing on AI in heart, lung, liver, and kidney transplant pathology.

Main Results:

  • Several deep learning-based AI models were developed for analyzing digital pathology slides.
  • AI applications were identified across four major transplant organs.
  • AI models demonstrated potential to enhance clinical decision-making and reduce diagnostic variability.

Conclusions:

  • AI in transplant pathology offers significant advancements in analyzing biopsy specimens.
  • AI technologies have the potential to substantially improve transplant outcomes.
  • Further development and validation of AI tools are expected to drive future progress in the field.