عرض بسيط للتسجيلة

المؤلفEl Alaoui, Yousra
المؤلفElomri, Adel
المؤلفQaraqe, Marwa
المؤلفPadmanabhan, Regina
المؤلفYasin Taha, Ruba
المؤلفEl Omri, Halima
المؤلفEL Omri, Abdelfatteh
المؤلفAboumarzouk, Omar
تاريخ الإتاحة2024-07-22T09:19:58Z
تاريخ النشر2022
اسم المنشورJournal of Medical Internet Research
المصدرScopus
المعرّفhttp://dx.doi.org/10.2196/36490
الرقم المعياري الدولي للكتاب14388871
معرّف المصادر الموحدhttp://hdl.handle.net/10576/56906
الملخصBackground: Machine learning (ML) and deep learning (DL) methods have recently garnered a great deal of attention in the field of cancer research by making a noticeable contribution to the growth of predictive medicine and modern oncological practices. Considerable focus has been particularly directed toward hematologic malignancies because of the complexity in detecting early symptoms. Many patients with blood cancer do not get properly diagnosed until their cancer has reached an advanced stage with limited treatment prospects. Hence, the state-of-the-art revolves around the latest artificial intelligence (AI) applications in hematology management. Objective: This comprehensive review provides an in-depth analysis of the current AI practices in the field of hematology. Our objective is to explore the ML and DL applications in blood cancer research, with a special focus on the type of hematologic malignancies and the patient's cancer stage to determine future research directions in blood cancer. Methods: We searched a set of recognized databases (Scopus, Springer, and Web of Science) using a selected number. We included studies written in English and published between 2015 and 2021. For each study, we identified the ML and DL techniques used and highlighted the performance of each model. Results: Using the aforementioned inclusion criteria, the search resulted in 567 papers, of which 144 were selected for review. Conclusions: The current literature suggests that the application of AI in the field of hematology has generated impressive results in the screening, diagnosis, and treatment stages. Nevertheless, optimizing the patient's pathway to treatment requires a prior prediction of the malignancy based on the patient's symptoms or blood records, which is an area that has still not been properly investigated.
راعي المشروعThis article was made possible by the National Priorities Research Program-Standard (NPRP-S) Twelfth (12th) Cycle grant (NPRP12S-0219-190108) from the Qatar National Research Fund (a member of Qatar Foundation). The findings herein reflect the work, and are solely the responsibility, of the author[s].
اللغةen
الناشرJMIR Publications
الموضوعartificial intelligence
cancer
deep learning
hematology
machine learning
malignancy
management
oncology
prediction
العنوانA Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects
النوعArticle Review
رقم العدد7
رقم المجلد24
dc.accessType Abstract Only


الملفات في هذه التسجيلة

الملفاتالحجمالصيغةالعرض

لا توجد ملفات لها صلة بهذه التسجيلة.

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة