Course Overview

Artificial intelligence in the workup of myelodysplastic syndrome

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Module Description

This course explores the transformative role of Artificial Intelligence (AI) in the diagnostic workup and management of Myelodysplastic Syndrome (MDS).
Participants will gain a comprehensive understanding of AI-driven approaches for morphological analysis, cytogenetic and molecular interpretation, and clinical decision support.
The course emphasizes practical applications of AI models for predicting disease progression and treatment response, while critically examining their limitations and ethical considerations. Learners will also review strategies for integrating AI into clinical workflows to enhance diagnostic accuracy, optimize patient outcomes, and support personalized medicine.

Learning Objectives

  • Describe the potential and limitations of AI in clinical diagnostics.
  • Interpret the AI algorithms for morphological analysis of bone marrow and peripheral blood.
  • Illustrate how to use AI tools for cytogenetic and molecular data interpretation.
  • Apply AI models to predict disease progression and treatment response.
  • Describe the strengths and limitations of current AI applications in MDS including data heterogeneity, interpretability, and generalizability across populations.
  • Explain the potential role of AI in predicting MDS progression in minimal residual disease monitoring, and in personalized treatment planning.

Course Lessons