Elsafty_Reports_of_Myeloid_Neoplasms_2025

The aim of the collected dataset (Elsafty_Reports_of_Myeloid_Neoplasms_2025) is to provide specialized, world-class, and comprehensive templates for myeloid neoplasms that serve purposes in Hematopathology practice, teaching/training/examination, and automation, including verification and validation of relevant automated systems. This validated, up-to-date, 100% accurate, machine-readable, and novel/unprecedented dataset has been meticulously reviewed word-by-word by both Hematopathologists and attending physicians from various specialties who detect or diagnose such cases at multiple international medical centres. Such meticulous review, referencing the WHO 5th edition, the international consensus classification of myeloid neoplasms and acute leukemias, along with other relevant esteemed publications, justifies the complexity and diversity of the dataset while maintaining benchmark scientific quality.

The online web-based software developed for the automated generation of CBC and PBS review narrative interpretation, as well as for complete personalized Hematopathology CPC (https://cbctst.com), demonstrates the utility of this dataset in supporting the validation of such clinical-fit tools, which are requested to assist senior Hematopathologists by saving time and effort, addressing workforce shortages and stress, and minimizing liability and clerical errors.