[HTML][HTML] Artificial intelligence in sickle disease

AA Elsabagh, M Elhadary, B Elsayed, AM Elshoeibi… - Blood Reviews, 2023 - Elsevier
Artificial intelligence (AI) is rapidly becoming an established arm in medical sciences and
clinical practice in numerous medical fields. Its implications have been rising and are being …

[HTML][HTML] Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning

M Elhadary, AM Elshoeibi, A Badr, B Elsayed… - Blood Reviews, 2023 - Elsevier
Chronic lymphocytic leukemia (CLL) is a B cell neoplasm characterized by the accumulation
of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western …

Artificial intelligence: illuminating the depths of the tumor microenvironment

T Xie, A Huang, H Yan, X Ju, L Xiang… - Journal of Translational …, 2024 - Springer
Artificial intelligence (AI) can acquire characteristics that are not yet known to humans
through extensive learning, enabling to handle large amounts of pathology image data …

Deep learning enhances acute lymphoblastic leukemia diagnosis and classification using bone marrow images

B Elsayed, M Elhadary, RM Elshoeibi… - Frontiers in …, 2023 - frontiersin.org
Acute lymphoblastic leukemia (ALL) poses a significant health challenge, particularly in
pediatric cases, requiring precise and rapid diagnostic approaches. This comprehensive …

Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects

AM Elshoeibi, A Badr, B Elsayed, O Metwally… - Cancers, 2023 - mdpi.com
Simple Summary This paper aims to highlight the latest advancements in the application of
artificial intelligence in the diagnosis of myelodysplastic syndrome. This research focuses on …

DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification

Y Zhang, Y Qi, X Qi, Y Wei, G Yang - International Conference on Medical …, 2024 - Springer
The precise subtype classification of myeloproliferative neoplasms (MPNs) based on
multimodal information, which assists clinicians in diagnosis and long-term treatment plans …

SOHO State of the Art Updates and Next Questions| Diagnosis, Outcomes, and Management of Prefibrotic Myelofibrosis

P Vachhani, S Loghavi, P Bose - Clinical Lymphoma Myeloma and …, 2024 - Elsevier
Prefibrotic primary myelofibrosis (prefibrotic PMF) is a myeloproliferative neoplasm with
distinct characteristics comprising histopathological and clinico-biological parameters. It is …

Medicina de precisión en hematología: Inteligencia Artificial para el diagnóstico diferencial de anemias

RO Trelles Martínez - 2024 - docta.ucm.es
La anemia es una de las afecciones más frecuentes a nivel mundial y según los últimos
datos publicados por la Organización Mundial de la Salud (OMS), afecta al 24, 8% de la …

Identification of Myeloproliferative Neoplasms using Deep Learning

S Abraham, B Penchalareddy… - … Women in Data …, 2024 - ieeexplore.ieee.org
Myeloproliferative Neoplasms (MPNs) are a heterogeneous group of disorders
characterized by proliferation of one or more hematologic cell. These myeloproliferative …