AIMC Topic: Thalassemia

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MultiThal-classifier, a machine learning-based multi-class model for thalassemia diagnosis and classification.

Clinica chimica acta; international journal of clinical chemistry Nov 7, 2024
BACKGROUND: The differential diagnosis between iron deficiency anemia (IDA) and thalassemia trait (TT) remains a significant clinical challenge. This study aimed to develop a machine learning-based multi-class model to differentiate among Microcytic-...
Female Male Humans Machine Learning Thalassemia Anemia, Iron-Deficiency Erythrocyte Indices
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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...
Isoelectric Focusing Anemia Deep Learning Diabetes Mellitus Hemoglobins Thalassemia Humans Adult
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MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.

Journal of magnetic resonance imaging : JMRI Nov 9, 2023
BACKGROUND: The T2* value of interventricular septum is routinely reported for grading myocardial iron load in thalassemia major, and automatic segmentation of septum could shorten analysis time and reduce interobserver variability.
Myocardium beta-Thalassemia Iron Overload Thalassemia Image Processing, Computer-Assisted Magnetic Resonance Imaging Adolescent Reproducibility of Results Young Adult Retrospective Studies Humans Observer Variation Middle Aged Female Adult Ventricular Septum Deep Learning Male
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Evaluation of the Association of Transferrin Receptor Type 2 Gene Mutation (Y250X) with Iron Overload in Major β- Thalassemia.

Archives of Razi Institute Nov 30, 2021
Thalassemia is an inherited blood disorder in which the body produces defective hemoglobin. One of the important processes to reduce the complication of major β-thalassemia is blood transfusion that leads to elevated ferritin levels in the blood. Man...
Mutation Iron Overload Thalassemia Humans beta-Thalassemia Receptors, Transferrin
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Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms.

Scientific reports May 15, 2025
Formulas based on red blood cell indices have been used to differentiate between iron deficiency anemia (IDA) and thalassemia (Thal). However, they exhibit varying efficiencies. In this study, we aimed to develop a tool for discriminating between IDA...
Humans Diagnosis, Differential Young Adult Random Forest Adult Algorithms Male Adolescent Machine Learning Thalassemia Female Middle Aged ROC Curve Boosting Machine Learning Algorithms Anemia, Iron-Deficiency Erythrocyte Indices
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AI Approach for Enhanced Thalassemia Diagnosis Using Blood Smear Images.

Studies in health technology and informatics May 23, 2024
This paper aims to propose an approach leveraging Artificial Intelligence (AI) to diagnose thalassemia through medical imaging. The idea is to employ a U-net neural network architecture for precise erythrocyte morphology detection and classification ...
Neural Networks, Computer Artificial Intelligence Thalassemia Image Interpretation, Computer-Assisted Humans
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