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This review outlines how contemporary AI tools can automate labor\u2010intensive quantitation, flag diagnostically salient patterns, and standardize interpretation, while the pathologist or hematologist retains authority over validation, context\u2010specific integration, and clinical decision\u2010making. We present an illustrative \u201chuman\u2010in\u2010the\u2010loop\u201d workflow that embeds AI modules within current laboratory information systems, emphasizing points where expert oversight mitigates algorithmic bias and resolves discordant findings. We further map the validator\u2013integrator role across morphology, flow cytometry, and genomic\/multi\u2010omic interpretation and provide practical training competencies and use cases for AI\u2010assisted hematopathology. Beyond technical deployment, the article addresses the educational transformation required for sustainable adoption. Drawing on international competency frameworks, including the Digital Health Competencies in Medical Education Framework and recently proposed AI\u2010specific Entrustable Professional Activities, we map core skills that future hematopathologists must master: data\u2010science literacy, critical appraisal of AI outputs, and ethical governance. We highlight evaluated training models such as the Pathology Informatics Essentials for Residents curriculum, Stanford Artificial Intelligence in Machine and Imaging workshops, and College of American Pathologists bootcamps and propose integration strategies adaptable across resource settings. By pairing rigorous validation with targeted education, AI can elevate rather than eclipse the diagnostic role of the leukemia specialist, enabling more timely, reproducible, and personalized patient care.<\/jats:p>","DOI":"10.1111\/ijlh.70193","type":"journal-article","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T04:37:32Z","timestamp":1782967052000},"page":"972-987","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>AI<\/scp>\n                    In Leukemia Diagnostics: Complementing the Pathologist's Role"],"prefix":"10.1111","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4839-9152","authenticated-orcid":false,"given":"Sayandeep K.","family":"Das","sequence":"first","affiliation":[{"name":"Department of Pathology BLDE (Deemed To Be University), Shri B. M. 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