AIMC Topic: Algorithms

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Detection of β-Thalassemia trait from a heterogeneous population with red cell indices and parameters.

Computers in biology and medicine Apr 26, 2025
BACKGROUND: India is home to about 42 million people with β-thalassemia trait (βTT) necessitating screening of βTT to stop spread of the disease. Over the years, researchers developed discrimination formulae based on red blood cell (RBC) parameters t...
Algorithms Female Adult Humans Machine Learning Erythrocyte Indices beta-Thalassemia Male India
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Phytophagous, blood-suckers or predators? Automated identification of Chagas disease vectors and similar bugs using convolutional neural network algorithms.

Acta tropica Apr 26, 2025
Correct identification of blood-sucking bugs, such as triatomines, is important because they are vectors of Chagas' disease. Identifying these insects is often difficult for non-specialists. Deep learning is emerging as a solution for automated ident...
Animals Feeding Behavior Neural Networks, Computer Deep Learning Insect Vectors Algorithms Chagas Disease Triatominae Convolutional Neural Networks
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Multiscale deformed attention networks for white blood cell detection.

Scientific reports Apr 26, 2025
White blood cell (WBC) detection is pivotal in medical diagnostics, crucial for diagnosing infections, inflammations, and certain cancers. Traditional WBC detection methods are labor-intensive and time-consuming. Convolutional Neural Networks (CNNs) ...
Image Processing, Computer-Assisted Humans Leukocytes Neural Networks, Computer Algorithms
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A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques.

Scientific reports Apr 26, 2025
Neuroblastoma presents a wide variety of clinical phenotypes, demonstrating different levels of benignity and malignancy among its subtypes. Early diagnosis is essential for effective patient management. Computed tomography (CT) serves as a significa...
Humans Deep Learning Algorithms Tomography, X-Ray Computed Neuroblastoma
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OPTUNA optimization for predicting chemical respiratory toxicity using ML models.

Journal of computer-aided molecular design Apr 26, 2025
Predicting molecular toxicity is an important stage in the process of drug discovery. It is directly related to medical destiny and human health. This paper presents an enhanced model for chemical respiratory toxicity prediction. It used a combinatio...
Drug Discovery Machine Learning Humans Algorithms
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An explainable artificial intelligence framework for weaning outcomes prediction using features from electrical impedance tomography.

Computer methods and programs in biomedicine Apr 25, 2025
BACKGROUND: Prolonged mechanical ventilation (PMV) might cause ventilator-associated pneumonia and diaphragmatic injury, and may lead to worsening clinical weaning outcomes. The present study proposes a comprehensive machine learning (ML) framework f...
Humans Ventilator Weaning Tomography Male Middle Aged Algorithms ROC Curve Female Electric Impedance Aged Artificial Intelligence Respiration, Artificial Machine Learning
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A multi-task neural network for full waveform ultrasonic bone imaging.

Computer methods and programs in biomedicine Apr 25, 2025
BACKGROUND AND OBJECTIVE: It is a challenging task to use ultrasound for bone imaging, as the bone tissue has a complex structure with high acoustic impedance and speed-of-sound (SOS). Recently, full waveform inversion (FWI) has shown promising imagi...
Humans Neural Networks, Computer Algorithms Ultrasonography Image Processing, Computer-Assisted Bone and Bones Animals Deep Learning
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FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Efficient Foveated Rendering in Virtual Reality.

IEEE transactions on visualization and computer graphics Apr 25, 2025
Leveraging real-time eye tracking, foveated rendering optimizes hardware efficiency and enhances visual quality virtual reality (VR). This approach leverages eye-tracking techniques to determine where the user is looking, allowing the system to rende...
Virtual Reality Image Processing, Computer-Assisted Fixation, Ocular Fovea Centralis Computer Graphics Algorithms Eye-Tracking Technology Deep Learning Humans
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Artificial intelligence based vision transformer application for grading histopathological images of oral epithelial dysplasia: a step towards AI-driven diagnosis.

BMC cancer Apr 25, 2025
BACKGROUND: This study aimed to classify dysplastic and healthy oral epithelial histopathological images, according to WHO and binary grading systems, using the Vision Transformer (ViT) deep learning algorithm-a state-of-the-art Artificial Intelligen...
Artificial Intelligence Algorithms Precancerous Conditions Image Processing, Computer-Assisted Mouth Neoplasms Mouth Mucosa Humans Deep Learning Neoplasm Grading Image Interpretation, Computer-Assisted Neural Networks, Computer
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A population based optimization of convolutional neural networks for chronic kidney disease prediction.

Scientific reports Apr 25, 2025
Chronic kidney disease (CKD) is a global public health concern, and the timely detection of the disease is priceless. Most of the classical machine learning models have the major drawbacks of being unsophisticated, non-robust, and non-accurate. This ...
Neural Networks, Computer Renal Insufficiency, Chronic Machine Learning Convolutional Neural Networks ROC Curve Algorithms Humans
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