AIMC Topic: Anemia

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Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department Study.

Journal of imaging informatics in medicine Aug 19, 2024
Anemia is a significant global health issue, affecting over a billion people worldwide, according to the World Health Organization. Generally, the gold standard for diagnosing anemia relies on laboratory measurements of hemoglobin. To meet the need i...
Retrospective Studies Female Aged Humans Prospective Studies Deep Learning Emergency Service, Hospital Hemoglobins Anemia Adult Male Middle Aged
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Machine/deep learning-assisted hemoglobin level prediction using palpebral conjunctival images.

British journal of haematology Jul 18, 2024
Palpebral conjunctival hue alteration is used in non-invasive screening for anaemia, whereas it is a qualitative measure. This study constructed machine/deep learning models for predicting haemoglobin values using 150 palpebral conjunctival images ta...
Humans Female Aged Deep Learning Conjunctiva Anemia Hemoglobins Adult Male Middle Aged
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Pursuing the elusive footsteps of malaria in peripheral blood smears utilizing artificial intelligence.

British journal of haematology Jul 8, 2024
For over a century, the need to identify malaria in the peripheral blood has been the driving force behind the development of fundamental clinical microscopy techniques. In the study by Moysis et al., artificial intelligence-based model was utilized ...
Erythrocytes Humans Child Artificial Intelligence Malaria Anemia
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Leveraging deep learning for detecting red blood cell morphological changes in blood films from children with severe malaria anaemia.

British journal of haematology Jun 18, 2024
In sub-Saharan Africa, acute-onset severe malaria anaemia (SMA) is a critical challenge, particularly affecting children under five. The acute drop in haematocrit in SMA is thought to be driven by an increased phagocytotic pathological process in the...
Deep Learning Child, Preschool Child Female Male Infant Malaria Anemia Erythrocytes Humans
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Microstrip isoelectric focusing with deep learning for simultaneous screening of diabetes, anemia, and thalassemia.

Analytica chimica acta May 6, 2024
BACKGROUND: Hemoglobin (Hb) is an important protein in red blood cells and a crucial diagnostic indicator of diseases, e.g., diabetes, thalassemia, and anemia. However, there is a rare report on methods for the simultaneous screening of diabetes, ane...
Diabetes Mellitus Hemoglobins Thalassemia Anemia Isoelectric Focusing Humans Adult Deep Learning
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Identification and prediction of association patterns between nutrient intake and anemia using machine learning techniques: results from a cross-sectional study with university female students from Palestine.

European journal of nutrition Mar 21, 2024
PURPOSE: This study utilized data mining and machine learning (ML) techniques to identify new patterns and classifications of the associations between nutrient intake and anemia among university students.
Arabs Anemia Middle East Humans Adolescent Cross-Sectional Studies Machine Learning Vitamins Universities Diet Minerals Cluster Analysis Female Students Micronutrients Young Adult Adult
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Prediction of Anemia From Cerebral Venous Sinus Attenuation on Deep-Learning Reconstructed Brain Computed Tomography Images.

Journal of computer assisted tomography May 26, 2023
OBJECTIVE: The aim of the study is to evaluate whether the prediction of anemia is possible using quantitative analyses of unenhanced cranial computed tomography (CT) with deep learning reconstruction (DLR) compared with conventional methods.
Deep Learning Radiographic Image Interpretation, Computer-Assisted Anemia Radiation Dosage Aged Algorithms Cross-Sectional Studies Retrospective Studies Humans Male Tomography, X-Ray Computed
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[Laboratory testing for anemia in primary care: reflex testing, reflecting and algorithms?].

Nederlands tijdschrift voor geneeskunde Apr 19, 2023
This commentary discusses the prevalence and causes of anemia in primary care in the Netherlands and the role of laboratory diagnostics in determining the cause of anemia. There are indications that guidelines in primary care regarding anemia are ins...
Humans Anemia Reflex Artificial Intelligence Algorithms Primary Health Care
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Prediction of anemia using facial images and deep learning technology in the emergency department.

Frontiers in public health Nov 9, 2022
BACKGROUND: According to the WHO, anemia is a highly prevalent disease, especially for patients in the emergency department. The pathophysiological mechanism by which anemia can affect facial characteristics, such as membrane pallor, has been proven ...
Emergency Service, Hospital Female Humans Anemia Male Machine Learning Deep Learning Technology
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Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm.

BMC medical informatics and decision making Sep 22, 2022
BACKGROUND: More than 115,000 maternal deaths and 591,000 prenatal deaths occurred in the world per year with anemia, the reduction of red blood cells or hemoglobin in the blood. The world health organization divides anemia in pregnancy into mild ane...
Hemoglobins Anemia Female Pregnant People Ethiopia Machine Learning Algorithms Pregnancy Humans
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