AIMC Topic: Diagnosis, Computer-Assisted

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Explainable AI-based feature importance analysis for ovarian cancer classification with ensemble methods.

Frontiers in public health Mar 26, 2025
INTRODUCTION: Ovarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite recent advances in the medical field, such as surgery, chemotherapy, and radiotherapy interventions, there are only marginal improvements in the diag...
Diagnosis, Computer-Assisted Ovarian Neoplasms Humans Artificial Intelligence Machine Learning Algorithms Female
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Lung cancer detection and classification using optimized CNN features and Squeeze-Inception-ResNeXt model.

Computational biology and chemistry Mar 25, 2025
Lung cancer, with its high mortality rate, is one of the deadliest diseases globally. The alarming increase in lung cancer deaths and its widespread prevalence have led to the development of various cancer control research and early detection methods...
Lung Neoplasms Humans Diagnosis, Computer-Assisted Neural Networks, Computer Algorithms Deep Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Optimizing heart disease diagnosis with advanced machine learning models: a comparison of predictive performance.

BMC cardiovascular disorders Mar 22, 2025
Cardiovascular disease is the leading cause of mortality globally, necessitating precise and prompt predictive instruments to enhance patient outcomes. In recent years, machine learning methodologies have demonstrated significant potential in enhanci...
Female Reproducibility of Results Aged Male Middle Aged Risk Assessment Decision Support Techniques Diagnosis, Computer-Assisted Humans Databases, Factual Predictive Value of Tests Machine Learning Heart Diseases Prognosis
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Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer's Disease Diagnosis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 19, 2025
Multiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehensive understanding of neurodegenerative disorders, have been widely used for computer-aided diagnosis of Alzheimer's disease (AD). Given the proven eff...
Magnetic Resonance Imaging Humans Alzheimer Disease Neural Networks, Computer Databases, Factual Machine Learning Brain Algorithms Diagnosis, Computer-Assisted
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Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture.

Scientific reports Mar 13, 2025
Classifying medical images is essential in computer-aided diagnosis (CAD). Although the recent success of deep learning in the classification tasks has proven advantages over the traditional feature extraction techniques, it remains challenging due t...
Algorithms Diagnosis, Computer-Assisted Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Diagnostic Imaging Artificial Intelligence
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FEGGNN: Feature-Enhanced Gated Graph Neural Network for robust few-shot skin disease classification.

Computers in biology and medicine Mar 9, 2025
Accurate and timely classification of skin diseases is essential for effective dermatological diagnosis. However, the limited availability of annotated images, particularly for rare or novel conditions, poses a significant challenge. Although few-sho...
Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted Skin Diseases Image Interpretation, Computer-Assisted Graph Neural Networks Humans
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Development and validation of computer-aided detection for colorectal neoplasms using deep learning incorporated with computed tomography colonography.

BMC gastroenterology Mar 8, 2025
OBJECTIVES: Computed tomography (CT) colonography is increasingly recognized as a valuable modality for diagnosing colorectal lesions, however, the interpretation workload remains challenging for physicians. Deep learning-based artificial intelligenc...
Aged Sensitivity and Specificity Colorectal Neoplasms Humans Neural Networks, Computer Female Deep Learning Early Detection of Cancer Radiographic Image Interpretation, Computer-Assisted Male Middle Aged Diagnosis, Computer-Assisted Colonography, Computed Tomographic
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Enhancing diagnosis prediction with adaptive disease representation learning.

Artificial intelligence in medicine Mar 4, 2025
Diagnosis prediction predicts which diseases a patient is most likely to suffer from in the future based on their historical electronic health records. The time series model can better capture the temporal progression relationship of patient diseases...
Diagnosis, Computer-Assisted Semantics Machine Learning Algorithms Electronic Health Records Humans
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Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Journal of biomedical optics Mar 4, 2025
SIGNIFICANCE: The incidence of keratinocyte carcinomas (KCs) is increasing every year, making the task of developing new methods for KC early diagnosis of utmost medical and economical importance.
Skin Optical Imaging Keratosis, Actinic Support Vector Machine Female Carcinoma, Squamous Cell Humans Spectrometry, Fluorescence Male Skin Neoplasms Machine Learning Discriminant Analysis Carcinoma, Basal Cell Aged Middle Aged Aged, 80 and over Diagnosis, Computer-Assisted
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Predictive modeling and optimization in dermatology: Machine learning for skin disease classification.

Computers in biology and medicine Mar 3, 2025
The accurate diagnosis of skin diseases is crucial for effective patient management and treatment, yet traditional diagnostic methods often involve subjective interpretation and can lead to variability in outcomes. In this study, we harness the power...
Humans Support Vector Machine Machine Learning Skin Diseases Diagnosis, Computer-Assisted Dermatology
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