AI Medical Compendium Journal:
Computer methods and programs in biomedicine

Showing 91 to 100 of 844 articles

Integrating radiomic and 3D autoencoder-based features for Non-Small Cell Lung Cancer survival analysis.

Computer methods and programs in biomedicine Nov 8, 2024
BACKGROUND AND OBJECTIVES: The aim of this study is to develop a radiomic and deep learning-based signature for survival analysis of patients with Non-Small Cell Lung Cancer.
Deep Learning Imaging, Three-Dimensional Lung Neoplasms Carcinoma, Non-Small-Cell Lung Survival Analysis Proportional Hazards Models Radiomics Humans Male Female Middle Aged Aged
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Optimization of grinding parameters in robotic-assisted preparation of cracked teeth based on fracture mechanics: FEA and experiment.

Computer methods and programs in biomedicine Oct 31, 2024
BACKGROUND AND OBJECTIVES: If left untreated, cracked teeth can lead to tooth loss, of which the incidence is 70%. Dental preparation is an effective treatment, but it is difficult to meet the clinical requirements when traditionally prepared by dent...
Finite Element Analysis Humans Robotics Tooth Preparation Stress, Mechanical Computer Simulation Tooth Fractures
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Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve.

Computer methods and programs in biomedicine Oct 31, 2024
BACKGROUND AND OBJECTIVE: Binge eating disorder (BED) is the most frequent eating disorder, often confused with obesity, with which it shares several characteristics. Early identification could enable targeted therapeutic interventions. In this study...
Glucose Tolerance Test Binge-Eating Disorder Body Mass Index Glycated Hemoglobin Models, Biological Middle Aged Female Blood Glucose Humans Adult Insulin Machine Learning Male Algorithms
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Towards high-performance deep learning architecture and hardware accelerator design for robust analysis in diffuse correlation spectroscopy.

Computer methods and programs in biomedicine Oct 28, 2024
This study proposes a compact deep learning (DL) architecture and a highly parallelized computing hardware platform to reconstruct the blood flow index (BFi) in diffuse correlation spectroscopy (DCS). We leveraged a rigorous analytical model to gener...
Equipment Design Spectrum Analysis Phantoms, Imaging Humans Neural Networks, Computer Algorithms Deep Learning
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Lung nodule classification using radiomics model trained on degraded SDCT images.

Computer methods and programs in biomedicine Oct 23, 2024
BACKGROUND AND OBJECTIVE: Low-dose computed tomography (LDCT) screening has shown promise in reducing lung cancer mortality; however, it suffers from high false positive rates and a scarcity of available annotated datasets. To overcome these challeng...
Radiation Dosage Radiomics Image Processing, Computer-Assisted Lung Neoplasms Logistic Models Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Humans Reproducibility of Results Machine Learning
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Enhancing cross-domain robustness in phonocardiogram signal classification using domain-invariant preprocessing and transfer learning.

Computer methods and programs in biomedicine Oct 19, 2024
BACKGROUND AND OBJECTIVE: Phonocardiogram (PCG) signal analysis is a non-invasive and cost-efficient approach for diagnosing cardiovascular diseases. Existing PCG-based approaches employ signal processing and machine learning (ML) for automatic disea...
Machine Learning Algorithms Databases, Factual Cardiovascular Diseases Signal Processing, Computer-Assisted Phonocardiography Humans
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Multi-scale dual-channel feature embedding decoder for biomedical image segmentation.

Computer methods and programs in biomedicine Oct 18, 2024
BACKGROUND AND OBJECTIVE: Attaining global context along with local dependencies is of paramount importance for achieving highly accurate segmentation of objects from image frames and is challenging while developing deep learning-based biomedical ima...
Humans Neural Networks, Computer Algorithms Liver Neoplasms Databases, Factual Image Processing, Computer-Assisted Deep Learning
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Early prediction of sudden cardiac death using multimodal fusion of ECG Features extracted from Hilbert-Huang and wavelet transforms with explainable vision transformer and CNN models.

Computer methods and programs in biomedicine Oct 11, 2024
BACKGROUND AND OBJECTIVE: Sudden cardiac death (SCD) is a critical health issue characterized by the sudden failure of heart function, often caused by ventricular fibrillation (VF). Early prediction of SCD is crucial to enable timely interventions. H...
Algorithms Deep Learning Electrocardiography Humans Neural Networks, Computer Death, Sudden, Cardiac Signal Processing, Computer-Assisted Wavelet Analysis Ventricular Fibrillation
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Smart monitoring solution for dengue infection control: A digital twin-inspired approach.

Computer methods and programs in biomedicine Oct 10, 2024
BACKGROUND AND OBJECTIVE: In the realm of smart healthcare, precise monitoring and prediction services are crucial for mitigating the impact of infectious diseases. This study introduces an innovative digital twin technology-inspired monitoring archi...
Neural Networks, Computer Algorithms Cluster Analysis Dengue Virus Dengue Humans
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Assessing the impact of ultrasound image standardization in deep learning-based segmentation of carotid plaque types.

Computer methods and programs in biomedicine Oct 10, 2024
BACKGROUND AND OBJECTIVE: Carotid B-mode ultrasound (CBUS) imaging is often used to detect and assess atherosclerotic plaques. Doctors often need to segment plaques in the CBUS images to further examine them. Multiple studies have proposed two-dimens...
Male Middle Aged Deep Learning Algorithms Female Aged Carotid Arteries Humans Ultrasonography Image Processing, Computer-Assisted Plaque, Atherosclerotic Image Interpretation, Computer-Assisted Carotid Artery Diseases
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