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Role of artificial intelligence in haematolymphoid diagnostics
Charlotte Syrykh1, Michiel van den Brand2,3, Jakob Nikolas Kather4,5
1Department of Pathology, Institut Universitaire du Cancer-Oncopole de Toulouse CHU Toulouse, Toulouse, France.
Histopathology
|October 22, 2024
Summary
Artificial intelligence (AI) offers powerful tools for analyzing complex data in digital pathology and molecular techniques. This technology promises to enhance diagnostic assistance and research in hematopathology laboratories.
Area of Science:
- Computational pathology
- Digital pathology
- Hematopathology
Background:
- Digital pathology and high-throughput molecular techniques generate vast amounts of complex data.
- Computational sciences and artificial intelligence (AI) provide methods for extracting meaningful information from this data.
- Machine learning (ML) techniques are increasingly researched for applications in pathology.
Purpose of the Study:
- To provide an overview of AI applications in hematopathology.
- To define the potential role of AI in hematopathology laboratories in the near future.
Main Methods:
- Literature review of AI applications in hematopathology.
- Analysis of current trends and future potential of AI in the field.
Main Results:
- AI demonstrates significant potential for diagnostic assistance in hematopathology.
- AI can serve as a powerful research tool, aiding in the analysis of complex datasets.
- Emerging AI technologies are expected to play a crucial role in laboratory workflows.
Conclusions:
- AI is a promising avenue for extracting relevant information from complex data in hematopathology.
- AI applications in hematopathology are vast, ranging from diagnostics to research.
- Hematopathology laboratories can expect AI to become an integral part of their operations.
