[HTML][HTML] Artificial intelligence in sickle disease
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 …
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 …
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 …
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 …
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 …
artificial intelligence in the diagnosis of myelodysplastic syndrome. This research focuses on …
DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification
The precise subtype classification of myeloproliferative neoplasms (MPNs) based on
multimodal information, which assists clinicians in diagnosis and long-term treatment plans …
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 …
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 …
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 …
characterized by proliferation of one or more hematologic cell. These myeloproliferative …