AIMC Topic: Leukocytes
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A comparative evaluation of three consecutive artificial intelligence algorithms released by Techcyte for identification of blasts and white blood cells in abnormal peripheral blood films.
International journal of laboratory hematology
Oct 3, 2023
INTRODUCTION: Digital pathology artificial intelligence (AI) platforms have the capacity to improve over time through "deep machine learning." We have previously reported on the accuracy of peripheral white blood cell (WBC) differential and blast ide...
Artificial intelligence and the blood film: Performance of the MC-80 digital morphology analyzer in samples with neoplastic and reactive cell types.
International journal of laboratory hematology
Aug 28, 2023
INTRODUCTION: Implementing artificial intelligence-based instruments in hematology laboratories requires evidence of efficiency in classifying pathological cells. In two-Universities, we assessed the performance of the Mindray® MC-80 for hematology p...
Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning.
PloS one
Jun 27, 2023
BACKGROUND: In diseases such as interstitial lung diseases (ILDs), patient diagnosis relies on diagnostic analysis of bronchoalveolar lavage fluid (BALF) and biopsies. Immunological BALF analysis includes differentiation of leukocytes by standard cyt...
Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks.
Computer methods and programs in biomedicine
May 30, 2023
BACKGROUND AND OBJECTIVES: Combining knowledge of clinical pathologists and deep learning models is a growing trend in morphological analysis of cells circulating in blood to add objectivity, accuracy, and speed in diagnosing hematological and non-he...
Cell damage evaluation by intelligent imaging flow cytometry.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Mar 31, 2023
Essential thrombocythemia (ET) is an uncommon situation in which the body produces too many platelets. This can cause blood clots anywhere in the body and results in various symptoms and even strokes or heart attacks. Removing excessive platelets usi...
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood.
BMC medical informatics and decision making
Mar 29, 2023
BACKGROUND AND OBJECTIVE: Morphological identification of peripheral leukocytes is a complex and time-consuming task, having especially high requirements for personnel expertise. This study is to investigate the role of artificial intelligence (AI) i...
A deep learning model for detection of leukocytes under various interference factors.
Scientific reports
Feb 7, 2023
The accurate detection of leukocytes is the basis for the diagnosis of blood system diseases. However, diagnosing leukocyte disorders by doctors is time-consuming and requires extensive experience. Automated detection methods with high accuracy can i...
Leukocyte deep learning classification assessment using Shapley additive explanations algorithm.
International journal of laboratory hematology
Feb 3, 2023
INTRODUCTION: A peripheral blood smear is a basic test for hematological disease diagnosis. This test is performed manually in many places worldwide, which requires both time and qualified staff. Large laboratories are equipped with digital morpholog...
Accurate stratification between VEXAS syndrome and differential diagnoses by deep learning analysis of peripheral blood smears.
Clinical chemistry and laboratory medicine
Feb 2, 2023
OBJECTIVES: VEXAS syndrome is a newly described autoinflammatory disease associated with somatic mutations and vacuolization of myeloid precursors. This disease possesses an increasingly broad spectrum, leading to an increase in the number of suspec...
Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan).
Computer methods and programs in biomedicine
Dec 15, 2022
BACKGROUND AND OBJECTIVES: Visual analysis of cell morphology has an important role in the diagnosis of hematological diseases. Morphological cell recognition is a challenge that requires experience and in-depth review by clinical pathologists. Withi...
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