Advances in Hematopathological Diagnostics Integrating Molecular Techniques, Digital Pathology and Artificial Intelligence in Hematologic Disease Evaluation

Dr. Rajiv Tyagi, Vaibhav, Dr. Nitin Kumar

Hematopathology; Molecular Diagnostics; Flow Cytometry; Hematological Malignancies; Digital Pathology; Artificial Intelligence in Hematology.

Hematopathology plays a critical role in diagnosing and managing hematological disorders, including leukemias, lymphomas, myeloproliferative neoplasms, and other blood-related diseases. Advances in molecular biology, immunophenotyping, flow cytometry, and computational diagnostics have significantly transformed the field. This cross-sectional analytical study evaluates recent advancements in hematopathological diagnostic methodologies using 224 hematological diagnostic cases. Integrated multi-modal diagnostic approaches combining molecular testing, immunophenotyping, and digital pathology significantly improve classification accuracy, achieving 96.4% classification contribution rate and 92.6% critical finding rate for the full integrated approach (F=8.14, p=0.001). The study highlights the importance of multidisciplinary diagnostic frameworks, molecular diagnostics, and digital technologies in modern hematopathology.

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