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المؤلفElshoeibi, Amgad Mohamed
المؤلفBadr, Ahmed
المؤلفElsayed, Basel
المؤلفMetwally, Omar
المؤلفElshoeibi, Raghad
المؤلفElhadary, Mohamed Ragab
المؤلفElshoeibi, Ahmed
المؤلفAttya, Mohamed Amro
المؤلفKhadadah, Fatima
المؤلفAlshurafa, Awni
المؤلفAlhuraiji, Ahmad
المؤلفYassin, Mohamed
تاريخ الإتاحة2024-02-25T08:53:52Z
تاريخ النشر2023-12-22
اسم المنشورCancers
المعرّفhttp://dx.doi.org/10.3390/cancers16010065
الاقتباسElshoeibi, A. M., Badr, A., Elsayed, B., Metwally, O., Elshoeibi, R., Elhadary, M. R., ... & Yassin, M. (2023). Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects. Cancers, 16(1), 65.
الرقم المعياري الدولي للكتاب2072-6694
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85182163714&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/52178
الملخصMyelodysplastic syndrome (MDS) is composed of diverse hematological malignancies caused by dysfunctional stem cells, leading to abnormal hematopoiesis and cytopenia. Approximately 30% of MDS cases progress to acute myeloid leukemia (AML), a more aggressive disease. Early detection is crucial to intervene before MDS progresses to AML. The current diagnostic process for MDS involves analyzing peripheral blood smear (PBS), bone marrow sample (BMS), and flow cytometry (FC) data, along with clinical patient information, which is labor-intensive and time-consuming. Recent advancements in machine learning offer an opportunity for faster, automated, and accurate diagnosis of MDS. In this review, we aim to provide an overview of the current applications of AI in the diagnosis of MDS and highlight their advantages, disadvantages, and performance metrics.
راعي المشروعThe open access publication of this article was made possible due to a generous fund from QU Health, Qatar University.
اللغةen
الناشرMultidisciplinary Digital Publishing Institute (MDPI)
الموضوعartificial intelligence
bone marrow smears
flow cytometry
machine learning
myelodysplastic syndrome diagnosis
peripheral blood smears
العنوانIntegrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects
النوعArticle
رقم العدد1
رقم المجلد16
ESSN2072-6694
dc.accessType Open Access


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