AIMC Journal:
Scientific reports
Showing 1311 to 1320 of 5367 articles
Clinically validated classification of chronic wounds method with memristor-based cellular neural network.
Scientific reports
Dec 28, 2024
Chronic wounds are a syndrome that affects around 4% of the world population due to several pathologies. The COV-19 pandemic has enforced the need of developing new techniques and technologies that can help clinicians to monitor the affected patients...
A machine learning tool for early identification of celiac disease autoimmunity.
Scientific reports
Dec 28, 2024
Identifying which patients should undergo serologic screening for celiac disease (CD) may help diagnose patients who otherwise often experience diagnostic delays or remain undiagnosed. Using anonymized outpatient data from the electronic medical reco...
Interpretable machine learning-driven biomarker identification and validation for Alzheimer's disease.
Scientific reports
Dec 28, 2024
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by limited effective treatments, underscoring the critical need for early detection and diagnosis to improve intervention outcomes. This study integrates various bioinformatics me...
Modeling and analysis of dengue transmission in fuzzy-fractional framework: a hybrid residual power series approach.
Scientific reports
Dec 28, 2024
The current manuscript presents a mathematical model of dengue fever transmission with an asymptomatic compartment to capture infection dynamics in the presence of uncertainty. The model is fuzzified using triangular fuzzy numbers (TFNs) approach. Th...
Machine learning for predicting acute myocardial infarction in patients with sepsis.
Scientific reports
Dec 24, 2024
Acute myocardial infarction (AMI) and sepsis are the leading causes of high mortality rates in intensive care units. While sepsis frequently affects the cardiovascular system, distinguishing between sepsis-induced cardiomyopathy and AMI remains chall...
Pulmonologists-level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach.
Scientific reports
Dec 24, 2024
Lung cancer (LC) remains the primary cause of cancer-related mortality, largely due to late-stage diagnoses. Effective strategies for early detection are therefore of paramount importance. In recent years, machine learning (ML) has demonstrated consi...
Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person.
Scientific reports
Dec 24, 2024
Recently, social demands for a good quality of life have increased among the elderly and disabled people. So, biomedical engineers and robotic researchers aimed to fuse these techniques in a novel rehabilitation system. Moreover, these models utilize...
Artificial intelligence in risk prediction and diagnosis of vertebral fractures.
Scientific reports
Dec 19, 2024
With the increasing prevalence of vertebral fractures, accurate diagnosis and prognostication are essential. This study assesses the effectiveness of AI in diagnosing and predicting vertebral fractures through a systematic review and meta-analysis. A...
Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model.
Scientific reports
Dec 19, 2024
Image processing and pattern recognition methods have recently been extensively implemented in histopathological images (HIs). These computer-aided techniques are aimed at detecting the attentive biological markers for assisting the final cancer grad...
Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy.
Scientific reports
Dec 18, 2024
Diabetic Retinopathy (DR) stands as a significant global cause of vision impairment, underscoring the critical importance of early detection in mitigating its impact. Addressing this challenge head-on, this study introduces an innovative deep learnin...
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