AIMC Journal:
Scientific reports
Showing 451 to 460 of 5092 articles
Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm.
Scientific reports
Apr 17, 2025
With an increased chronic disease and an ageing population, remote health monitoring is a substantial method to enhance the care of patients and decrease healthcare expenses. The Internet of Things (IoT) presents a promising solution for remote healt...
VMKLA-UNet: vision Mamba with KAN linear attention U-Net.
Scientific reports
Apr 17, 2025
In the domain of medical image segmentation, while convolutional neural networks (CNNs) and Transformer-based architectures have attained notable success, they continue to face substantial challenges. CNNs are often limited in their ability to captur...
A comprehensive case study of deep learning on the detection of alpha thalassemia and beta thalassemia using public and private datasets.
Scientific reports
Apr 17, 2025
This study explores the performance of deep learning models, specifically Convolutional Neural Networks (CNN) and XGBoost, in predicting alpha and beta thalassemia using both public and private datasets. Thalassemia is a genetic disorder that impairs...
Artificial intelligence based automatic classification, annotation, and measurement of the fetal heart using HeartAssist.
Scientific reports
Apr 16, 2025
This study evaluated the feasibility of HeartAssist, a novel automated tool designed for classification of fetal cardiac views, annotation of cardiac structures, and measurement of cardiac parameters. Unlike previous AI tools that primarily focused o...
A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease.
Scientific reports
Apr 16, 2025
The heterogeneity of cerebral small vessel disease (CSVD) with mild cognitive impairment (MCI) presents a challenge for diagnosis and classification. This study aims to propose a multimodal magnetic resonance imaging (MRI)-based machine learning fram...
Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity.
Scientific reports
Apr 16, 2025
In the digital age, privacy preservation is of paramount importance while processing health-related sensitive information. This paper explores the integration of Federated Learning (FL) and Differential Privacy (DP) for breast cancer detection, lever...
Enhancing security in electromagnetic radiation therapy using fuzzy graph theory.
Scientific reports
Apr 16, 2025
This research investigates the application of fuzzy graph theory to address critical security challenges in electromagnetic radiation therapy systems. Through comprehensive theoretical analysis and experimental validation, we introduce novel approach...
Tuberculosis detection using few shot learning.
Scientific reports
Apr 16, 2025
Tuberculosis (TB), a contagious disease, significantly affects lungs functioning. Amongst multiple detection methodologies, Chest X-ray analysis is considered the most effective methodology. Traditional Deep Learning methodologies have shown good res...
Comparing machine learning models for predicting preoperative DVT incidence in elderly hypertensive patients with hip fractures: a retrospective analysis.
Scientific reports
Apr 16, 2025
Hip fractures in the elderly present a significant public health challenge globally, especially among patients with hypertension, who are at an increased risk of developing preoperative deep vein thrombosis (DVT). DVT not only heightens surgical risk...
Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods.
Scientific reports
Apr 16, 2025
The connection between fluoroquinolones and severe heart conditions, such as aortic aneurysm (AA) and aortic dissection (AD), has been acknowledged, but the full extent of long-term risks remains uncertain. Addressing this knowledge deficit, a retros...
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