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Smartpathk: a platform for teaching glomerulopathies using machine learning.

Nayze Lucena Sangreman Aldeman1, Keylla Maria de Sá Urtiga Aita2, Vinícius Ponte Machado3

  • 1Department of Specialized Medicine, Federal University of Piauí, Teresina, PI, Brazil. nayzealdeman@gmail.com.

BMC Medical Education
|April 30, 2021
PubMed
Summary

SmartPathk, an AI tool, enhances pathology education by accurately identifying kidney pathologies from biopsy slides. This machine learning system improves training for medical professionals, especially in underserved regions.

Keywords:
Digital pathologyIntelligent systemKidneyMachine learningRenal pathology

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Area of Science:

  • Medical Education
  • Digital Pathology
  • Artificial Intelligence in Medicine

Background:

  • The COVID-19 pandemic accelerated the adoption of digital learning in medical education.
  • Pathology teaching is adapting traditional microscopy with computational tools and digitized images.
  • Machine learning algorithms are being developed to identify histological patterns in kidney biopsies for pathology diagnosis.

Purpose of the Study:

  • To describe and evaluate SmartPathk, an AI-powered tool for teaching glomerulopathies.
  • To leverage machine learning for creating computational models for renal pathology identification.
  • To support medical education by providing accessible training in nephropathology.

Main Methods:

  • Developed SmartPathk, an intelligent system utilizing machine learning.
  • Employed the J48 algorithm for automatic knowledge acquisition and decision tree model creation.
  • Trained the system on digitized kidney biopsy slides to recognize histological patterns.

Main Results:

  • SmartPathk demonstrated 89.47% accuracy in identifying renal pathologies.
  • The system functions as a complementary remote tool for pathology teaching and learning.
  • The machine learning algorithms were based on decision trees.

Conclusions:

  • The AI system, SmartPathk, effectively assists in teaching renal pathology.
  • It has the potential to increase the training capacity of medical professionals in nephropathology.
  • This tool offers a solution for quality medical training, even with limited access to expert nephropathologists.