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Marisa Kometas

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Articles

International testing and refinement of AI algorithms predicting acute leukemia subtypes from routine laboratory data

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By Amin T. Turki, Yi Fan, Alberto Hernández-Sánchez, Wellington Silva, Shaun Fleming, Koray Yalcin, Catharina Van Elssen, Yazan Madanat, Magdalena Karasek, Mahmoud Aljurf, Matteo Della Porta, Alexandra Martínez-Roca, Luca Guarnera, Evangelia Antoniou, deepak mishra, Stephania Niry Manantsoa, Amir Enshaei, Felicitas Thol, Maria Teresa Voso, Jia Chen, Anthony V Moorman, María Belén Vidriales, Ahmet Bahadir Koc, Ahmet Ali Koç, Pratyush Kumar Mishra, Dirk Strumberg, Roma Fourmanov, Lukas Heine, Jens Kleesiek, Daniel Munarriz, Eduardo Rego, Rabea Mecklenbrauck, Marta Sobas, Depei Wu, Felix Nensa, Katarina Steffen, Maria M. Rivas, Ansgar T. Blum, Adeniyi Adiat, Tusneem Ahmed Elhassan, Nina R. Neuendorff, Gianluca Asti, Mridula Mokoonlall, Marisa Kometas, Merlin Engelke
| Nature Verified
Abstract Despite advances for patients with acute leukemia health disparities limit access to diagnosis and treatment. Artificial Intelligence (AI) approaches may address some disparities. We retrospectively assemble a diverse, international cohort of 6206 leukemia patients from 20 centers to test an AI tool designed to support leukemia diagnosis using standard laboratory results. Executing the pretrained algorithm results in varying accuracy metrics.
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