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Artificial Intelligence in Lymphoma Histopathology: Systematic Review
10
Zitationen
8
Autoren
2025
Jahr
Abstract
From a methodological perspective, all models exhibited biases. The enhancement of the accuracy of AI models and the acceleration of their clinical translation hinge on several critical aspects. These include the comprehensive reporting of data sources, the diversity of datasets, the study design, the transparency and interpretability of AI models, the use of cross-validation and external validation, and adherence to regulatory guidance and standardized processes in the field of medical AI.
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