From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film
BE Fan, BSJ Yong, LI Ruiqi, SSY Wang, AWMY Natalie… - Blood Reviews, 2023 - Elsevier
Artificial intelligence (AI) and its application in classification of blood cells in the peripheral
blood film is an evolving field in haematology. We performed a rapid review of the literature …
blood film is an evolving field in haematology. We performed a rapid review of the literature …
[HTML][HTML] Artificial Intelligence and Deep Learning for Screening and Risk Assessment of Cancers
M Farrokhi, SJ Khouzani, M Farrokhi, H Jalayeri… - Kindle, 2024 - preferpub.org
Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
[HTML][HTML] Integrating machine learning in electronic health passport based on WHO study and healthcare resources
A Ismukhamedova, I Uvaliyeva, S Belginova - Informatics in Medicine …, 2024 - Elsevier
Healthcare's evolution amid rapid scientific progress demands the efficient management of
extensive data. This has given rise to electronic health passports, which play a crucial role in …
extensive data. This has given rise to electronic health passports, which play a crucial role in …
Advancing Early Leukemia Diagnostics: A Comprehensive Study Incorporating Image Processing and Transfer Learning
Disease recognition has been revolutionized by autonomous systems in the rapidly
developing field of medical technology. A crucial aspect of diagnosis involves the visual …
developing field of medical technology. A crucial aspect of diagnosis involves the visual …
Detection of chronic lymphocytic leukemia using Deep Neural Eagle Perch Fuzzy Segmentation–A novel comparative approach
With a high mortality rate worldwide, Chronic Lymphocytic Leukemia (CLL) poses a serious
health risk. Radiologists view the ability to detect blood tumor cells as both important and …
health risk. Radiologists view the ability to detect blood tumor cells as both important and …
Optimizing the Performance of AI Model for Non-Invasive Continuous Glucose Monitoring: Hyperparameter Tuning and Random Oversampling Approach
K Putra, MP Kusumo, P Prayitno, D Wicaksana… - … : International Journal on …, 2024 - joiv.org
Diabetes Mellitus (DM) as a non-communicable disease (NCD) continues to increase every
year. Continuous glucose monitoring (CGM) is essential for effective DM management …
year. Continuous glucose monitoring (CGM) is essential for effective DM management …
CapsENet: Deep Learning based Acute Lymphoblastic Leukemia Detection Approach
K Lalithkumar, MA Priyanga, S Sandhya… - … Conference on I …, 2024 - ieeexplore.ieee.org
The abnormal formation of lymphocytes in the bone marrow causes one of the dangerous
forms of blood cancer, which is called Acute LymphoblasticLeukaemia (ALL). While it is most …
forms of blood cancer, which is called Acute LymphoblasticLeukaemia (ALL). While it is most …
[PDF][PDF] Are Chronic lymphocytic leukemia blood parameters differing from Other leukemias subtypes
EA Abuelfadol, MMM Abdalla, M Elsayid, A Abdula - 2023 - researchgate.net
Background: Adults widely acknowledge CLL as a prevalent lymphoproliferative disease, a
hematological malignancy. Thus, the objective of this study was to assess potential …
hematological malignancy. Thus, the objective of this study was to assess potential …
[PDF][PDF] AI Powered Bioinformatics-Expediting Diagnostic Testing: A Survey
R Bajhzer, M Alghamdi, S Elhag - vsrp.co.uk
Research has demonstrated the positive impact of artificial intelligence and Bioinformatics in
the field of clinical diagnosis. The integration of AI methodologies into bioinformatics has …
the field of clinical diagnosis. The integration of AI methodologies into bioinformatics has …