AIMC Topic: Algorithms

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A hybrid XAI-driven deep learning framework for robust GI tract disease diagnosis.

Scientific reports Jul 1, 2025
The stomach is one of the main digestive organs in the GIT, essential for digestion and nutrient absorption. However, various gastrointestinal diseases, including gastritis, ulcers, and cancer, affect health and quality of life severely. The precise ...
Image Processing, Computer-Assisted Gastrointestinal Diseases Algorithms Deep Learning Humans Artificial Intelligence
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A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein.

Scientific reports Jul 1, 2025
Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk of heart disease, stroke, and diabetes. Timely detection and intervention are crucial in preventing severe health outcomes. In this study, we implemen...
Bilirubin Female Liver Function Tests Alanine Transaminase Support Vector Machine Neural Networks, Computer Aspartate Aminotransferases Humans Aged Metabolic Syndrome Male Algorithms Machine Learning Adult C-Reactive Protein Middle Aged Biomarkers
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An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm.

Scientific reports Jul 1, 2025
The developing elderly population undergoes a high level of eyesight and mental impairment, which frequently results in a defeat of independence. That kind of person should do vital daily tasks like heating and cooking, with methods and devices inten...
Neural Networks, Computer Artificial Intelligence Fires Persons with Visual Disabilities Humans Blindness Recurrent Neural Networks Algorithms
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CFM-UNet: coupling local and global feature extraction networks for medical image segmentation.

Scientific reports Jul 1, 2025
In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conversely, Mamba, a novel network framework, effectively captures long-range feature dependencies and e...
Liver Neoplasms Humans Image Processing, Computer-Assisted Neural Networks, Computer Colonic Polyps Liver Algorithms
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Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction.

Scientific reports Jul 1, 2025
Effective treatment for brain tumors relies on accurate detection because this is a crucial health condition. Medical imaging plays a pivotal role in improving tumor detection and diagnosis in the early stage. This study presents two approaches to th...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Machine Learning Algorithms Humans
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Transformer attention fusion for fine grained medical image classification.

Scientific reports Jul 1, 2025
Fine-grained visual classification is fundamental for medical image applications because it detects minor lesions. Diabetic retinopathy (DR) is a preventable cause of blindness, which requires exact and timely diagnosis to prevent vision damage. The ...
Image Interpretation, Computer-Assisted Algorithms Image Processing, Computer-Assisted Diabetic Retinopathy Neural Networks, Computer Humans
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Super-resolution of 3D medical images by generative adversarial networks with long and short-term memory and attention.

Scientific reports Jul 1, 2025
Since 3D medical imaging data is a string of sequential images, there is a strong correlation between consecutive images. Deep convolutional networks perform well in extracting spatial features, but are less capable for processing sequence data compa...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Memory, Short-Term Attention Algorithms Imaging, Three-Dimensional Generative Adversarial Networks
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques.

Scientific reports Jul 1, 2025
Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical...
Breast Neoplasms Deep Learning Early Detection of Cancer Mammography Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Female Humans
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A study on classification based concurrent API calls and optimal model combination for tool augmented LLMs for AI agent.

Scientific reports Jul 1, 2025
AI Agents have evolved to not only recommend content but also facilitate information retrieval and task processing. Developing AI Agents using general-purpose LLM models necessitates integration with external tools, leading to tool-augmented LLM stud...
Software Algorithms Models, Theoretical Humans Artificial Intelligence
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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification.

Scientific reports Jul 1, 2025
The growing number of patients and the emergence of new symptoms and diseases make health monitoring and assessment increasingly complex for medical staff and hospitals. The execution of big and heterogeneous data gathered by medical sensors and the ...
Delivery of Health Care Deep Learning Blockchain Humans Algorithms
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