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Study on mechanical properties of dual-channel cryogenic 3D printing scaffold for mandibular defect repair
Mandibular defect repair has always been a clinical challenge, facing technical bottleneck. The new materials directly affect technological...
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From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets
AbstractUnderstanding protein structures is crucial for various bioinformatics research, including drug discovery, disease diagnosis, and...
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Intelligent salivary biosensors for periodontitis: in vitro simulation of oral oxidative stress conditions
One of the most common oral diseases affecting millions of people worldwide is periodontitis. Usually, proteins in body fluids are used as biomarkers...
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Lung pneumonia severity scoring in chest X-ray images using transformers
AbstractTo create robust and adaptable methods for lung pneumonia diagnosis and the assessment of its severity using chest X-rays (CXR), access to...
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Nucleus segmentation of white blood cells in blood smear images by modeling the pixels’ intensities as a set of three Gaussian distributions
AbstractThe precise segmentation of white blood cells (WBCs) within blood smear images is a significant challenge with implications for both medical...
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Analysis of reading-task-based brain connectivity in dyslexic children using EEG signals
Developmental dyslexia, a neurodevelopment reading disorder, can impact even children with average intelligence. The present study examined the brain...
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Predicting ischemic stroke patients’ prognosis changes using machine learning in a nationwide stroke registry
Accurately predicting the prognosis of ischemic stroke patients after discharge is crucial for physicians to plan for long-term health care. Although...
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A novel machine learning model for breast cancer detection using mammogram images
The most fatal disease affecting women worldwide now is breast cancer. Early detection of breast cancer enhances the likelihood of a full recovery...
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Generalizability of machine learning models predicting 30-day unplanned readmission after primary total knee arthroplasty using a nationally representative database
Unplanned readmission after primary total knee arthroplasty (TKA) costs an average of US $39,000 per episode and negatively impacts patient outcomes....
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Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study
This study investigated the impact of ComBat harmonization on the reproducibility of radiomic features extracted from magnetic resonance images (MRI)...
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Optimizing motion imagery classification with limited channels using the common spatial pattern-based integrated algorithm
The extraction of effective classification features from electroencephalogram (EEG) signals in motor imagery is a popular research topic. The Common...
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Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation
AbstractThe mean teacher model and its variants, as important methods in semi-supervised learning, have demonstrated promising performance in...
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The role of eye movement signals in non-invasive brain-computer interface ty** system
Brain-Computer Interfaces (BCIs) have shown great potential in providing communication and control for individuals with severe motor disabilities....
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A lightweight xAI approach to cervical cancer classification
AbstractCervical cancer is caused in the vast majority of cases by the human papilloma virus (HPV) through sexual contact and requires a specific...
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A hybrid EEG classification model using layered cascade deep learning architecture
The problem of multi-class classification is always a challenge in the field of EEG (electroencephalogram)-based seizure detection. The traditional...
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Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images
AbstractRespiratory diseases have a significant global impact, and assessing these conditions is crucial for improving patient outcomes. Chest X-ray...
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When deep learning is not enough: artificial life as a supplementary tool for segmentation of ultrasound images of breast cancer
Segmentation of tumors in ultrasound (US) images of the breast is a critical issue in medical imaging. Due to the poor quality of US images and the...
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Numerical study of the induction of intratumoral apoptosis under microwave ablation by changing slot length of microwave coaxial antenna
Recent advances in technology have led to an increase in the detection of previously undetected deep-located tumor tissue. As a result, the medical...
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Advancing brain tumor classification through MTAP model: an innovative approach in medical diagnostics
AbstractThe early diagnosis of brain tumors is critical in the area of healthcare, owing to the potentially life-threatening repercussions unstable...
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An AI healthcare ecosystem framework for Covid-19 detection and forecasting using CronaSona
The primary purpose of this paper is to establish a healthcare ecosystem framework for COVID-19, CronaSona. Unlike some studies that focus solely on...
