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Epixtract: An Artificial Intelligence-Driven Tool to Optimize Data Abstraction for CIBMTR Reporting | Synapse
March 3, 2026
Epixtract: An Artificial Intelligence-Driven Tool to Optimize Data Abstraction for CIBMTR Reporting
AS
Amelia Scheck
Stanford Medicine
EP
Edwin Pua
EY
Emily Jin Yang
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Key Points
Optimized data abstraction enhances CIBMTR reporting efficiency and accuracy.
The analysis showcased a 25% increase in reporting speed with the integration of AI.
A machine learning algorithm was employed to refine data management and extraction processes.
The findings may enable more streamlined reporting but need to be validated in larger contexts.
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Scheck et al. (Sun,) studied this question.
synapsesocial.com/papers/69a76096c6e9836116a2d7c2
https://doi.org/https://doi.org/10.1016/j.jtct.2025.12.140