Artificial intelligence-assisted diagnostic cytology and genomic testing for hematologic disorders
Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …
development of computational programs that can mimic human intelligence. In particular …
Machine learning applied to diagnosis of human diseases: A systematic review
N Caballé-Cervigón, JL Castillo-Sequera… - Applied Sciences, 2020 - mdpi.com
Human healthcare is one of the most important topics for society. It tries to find the correct
effective and robust disease detection as soon as possible to patients receipt the …
effective and robust disease detection as soon as possible to patients receipt the …
Artificial intelligence and mapping a new direction in laboratory medicine: a review
Background Modern artificial intelligence (AI) and machine learning (ML) methods are now
capable of completing tasks with performance characteristics that are comparable to those of …
capable of completing tasks with performance characteristics that are comparable to those of …
[HTML][HTML] A review of artificial intelligence applications in hematology management: current practices and future prospects
Background 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 …
garnered a great deal of attention in the field of cancer research by making a noticeable …
[HTML][HTML] Artificial intelligence predicted overall survival and classified mature B-cell neoplasms based on immuno-oncology and immune checkpoint panels
Simple Summary Artificial intelligence (AI) is a field that combines computer science with
robust datasets to solve problems. AI in medicine uses machine learning and deep learning …
robust datasets to solve problems. AI in medicine uses machine learning and deep learning …
Artificial intelligence in clinical multiparameter flow cytometry and mass cytometry–key tools and progress
There are many research studies and emerging tools using artificial intelligence (AI) and
machine learning to augment flow and mass cytometry workflows. Emerging AI tools can …
machine learning to augment flow and mass cytometry workflows. Emerging AI tools can …
Diagnosis of histopathological images to distinguish types of malignant lymphomas using hybrid techniques based on fusion features
Malignant lymphoma is one of the types of malignant tumors that can lead to death. The
diagnostic method for identifying malignant lymphoma is a histopathological analysis of …
diagnostic method for identifying malignant lymphoma is a histopathological analysis of …
Expert-independent classification of mature B-cell neoplasms using standardized flow cytometry: a multicentric study
S Böttcher, R Engelmann, G Grigore… - Blood …, 2022 - ashpublications.org
Reproducible expert-independent flow-cytometric criteria for the differential diagnoses
between mature B-cell neoplasms are lacking. We developed an algorithm-driven …
between mature B-cell neoplasms are lacking. We developed an algorithm-driven …
Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas
Malignant lymphoma is one of the most severe types of disease that leads to death as a
result of exposure of lymphocytes to malignant tumors. The transformation of cells from …
result of exposure of lymphocytes to malignant tumors. The transformation of cells from …
Artificial Intelligence for Clinical Flow Cytometry.
RP Seifert, DA Gorlin, AA Borkowski - Clinics in Laboratory Medicine, 2023 - europepmc.org
In this review, the authors discuss the fundamental principles of machine learning. They
explore recent studies and approaches in implementing machine learning into flow …
explore recent studies and approaches in implementing machine learning into flow …