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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
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Promises and challenges of artificial intelligence in haematological diagnostics
Jan-Niklas Eckardt1,2, Jan Moritz Middeke1,2
1Department of Internal Medicine I, University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
British Journal of Haematology
|July 28, 2025
Abstract
None:
Artificial intelligence (AI) offers the promise of automating key tasks in haematology and unveiling novel biomarkers. However, model outputs may be biased, lack interpretability or fail to generalise. AI literacy is essential for haematologists to critically evaluate model outputs, effectively using them as decision support tools.
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