Better Leukemia Diagnostics Through AI (BELUGA)
This is not medical advice. AI-assisted translation — inaccuracies may occur. Always verify the original and consult your oncologist before taking any steps.
About the trial
To the best of our knowledge, BELUGA will be the first prospective trial investigating the usefulness of deep learning-based hematologic diagnostic algorithms. Taking advantage of an unprecedented collection of diagnostic samples consisting of flow cytometry datapoints and digitalized blood-smears, categorization of yet undiagnosed patient samples will prospectively be compared to current state-of-the-art diagnosis at the Munich Leukemia Laboratory (hereafter MLL). In total, a collection of 25,000 digitalized blood smears and 25,000 flow cytometry datapoints will be prospectively used to train an AI-based deep neuronal network for correct categorization. Subsequently, the superiority will be challenged for the primary endpoints: sensitivity and specificity of diagnosis, most probable diagnosis, and time to diagnose. The secondary endpoints will compare the consequences regarding further diagnostic work-up and, thus, clinical decision making between routine diagnosis and AI guided diagnostics. BELUGA will set the stage for the introduction of AI-based hematologic diagnostics in a real-world setting.
Original English text from ClinicalTrials.gov
Who can (and can't) join
✓ Qualifies
- •Pacjenci w wieku co najmniej 18 lat
- •Osoby z podejrzeniem zaburzenia hematologicznego (choroby krwi)
- •Próbki spełniające wymagane standardy jakości
✗ Disqualifies
- •Próbki niespełniające standardów jakości
- •Próbki pobrane do niewłaściwego zapamiętywania (heparyna zamiast EDTA)
- •Próbki uszkodzone przez mróz, ciepło lub inne warunki atmosferyczne
- •Próbki ze zbyt małą ilością materiału do prawidłowej oceny
Simplified criteria — AI translation
Trial details
- Minimum age
- 18 Years
- Last updated (source)
- October 9, 2026
- Sex
- No restrictions
Therapies / drugs in trial
Locations (1)
MLL Munich Leukemia Laboratory
Munich, Germany
Trial contact
Adam Wahida, MD
Torsten Haferlach, Prof. Dr.Dr.
Contact information from ClinicalTrials.gov. Contact in English.
Share this trial
Data from ClinicalTrials.gov. AI-assisted translation, last sync: 10/10/2026.
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