Review of a Critical Step Towards Diagnosis Leukemia

Introduction Leukemias is a broad term for life-threatening cancers of the blood cells that can be particularly challenging to understand and treat. The presence of leukemia is often diagnosis by analyzing samples from the blood. artificial intelligence can help with the diagnosis of such lymphomas and leukemias. Methods This study performed by using collected article in English were available on details of the main topic since ۲۰۰۵ to ۲۰۱۸ in Scopus, PubMed, google scholar, Web of Science. Results As the volume of medical data grows, informatics tools like Artificial intelligence (Ai), and more narrowly machine-learning, are becoming crucial in analyzing these data to provide meaningful tools for diagnostic, prognostic, and therapeutic purposes and expand humanity's capacity to analyze increasingly large and complex datasets. however, the gold standard is a diagnosis by hematologists. Result of studies show, Ai takes full advantage of the data and increases the speed and objectivity of analyses compared to other methods, even smaller laboratories can benefit from this freely accessible method. Conclusion Ai suggested a diagnosis that still needs to be verified by the physician. New developments in this method have shown a deeper understanding of the disorder and the development of better prognostic and diagnosis tools. Ongoing work in this field brings these developments incrementally closer to clinical implementation.

کلیدواژه ها:

Leukemia ، Artificial intelligence ، diagnosis ، treatment