AIMC Topic: Algorithms

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Artery fragment guided approach for enhancing cerebral aneurysm detection in TOF-MRA imaging.

Computer methods and programs in biomedicine Sep 1, 2025
BACKGROUND: Cerebral aneurysms are a type of cerebrovascular disease that poses a severe threat to life and health. Early screening using Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) can effectively reduce the risk of rupture. Despite the ...
Image Processing, Computer-Assisted Magnetic Resonance Angiography Intracranial Aneurysm Humans Neural Networks, Computer Algorithms
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Identification of bacterial infection types in decomposition stages at various temperatures using pathology images and artificial intelligence algorithms.

Journal of microbiological methods Sep 1, 2025
Bacterial infections present a significant threat to human health, and accurate identification of infection type is crucial for both clinical and forensic applications. Although traditional diagnostic methods are reliable, they are often time-consumi...
Humans Image Processing, Computer-Assisted Artificial Intelligence Algorithms Bacteria Bacterial Infections Temperature
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Optimizing Dementia Diagnosis Through Distance-Correlation Feature Space and Dimensionality Reduction.

International journal of neural systems Sep 1, 2025
The reduction of dimensionality in machine learning and artificial intelligence problems constitutes a pivotal element in the simplification of models, significantly enhancing both their performance and execution time. This process enables the genera...
Algorithms Dementia Dimensionality Reduction Humans Artificial Intelligence Machine Learning
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Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy.

Computer methods and programs in biomedicine Sep 1, 2025
BACKGROUND AND OBJECTIVE: In lung radiotherapy, infrared cameras can track reflective objects on the chest to estimate tumor motion due to breathing. However, treatment system latencies hinder radiation beam precision. Real-time recurrent learning (R...
Motion Recurrent Neural Networks Humans Algorithms Neural Networks, Computer Respiration Forecasting Radiotherapy, Image-Guided Lung Neoplasms
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The knowledge distillation-assisted multimodal model for osteoporosis screening.

Computer methods and programs in biomedicine Sep 1, 2025
BACKGROUND AND OBJECTIVE: Osteoporosis is characterized by reduced bone mass and deterioration of bone structure, yet screening rates prior to fractures remain low. Given its high prevalence and severe consequences, developing an effective osteoporos...
Osteoporosis Deep Learning Tomography, X-Ray Computed Mass Screening Humans Aged Female Algorithms Male Bone Density Middle Aged
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Momentary dietary lapse prediction for obesity management: Developing the Eating Behaviour Lapse Inventory Survey Singapore (eBLISS) and a machine learning lapse prediction model.

Computer methods and programs in biomedicine Sep 1, 2025
BACKGROUND: As the obesity prevalence continues to rise, effective interventions that promote dietary adherence and address the intricate array of factors contributing to dietary lapses are warranted.
Ecological Momentary Assessment Obesity Management Middle Aged Humans Reproducibility of Results Surveys and Questionnaires Obesity Machine Learning Mobile Applications Adult Singapore Algorithms Male Feeding Behavior Female
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Interpretable machine learning models based on body composition and inflammatory nutritional index (BCINI) to predict early postoperative recurrence of colorectal cancer: Multi-center study.

Computer methods and programs in biomedicine Sep 1, 2025
BACKGROUND AND OBJECTIVE: Colorectal cancer (CRC) ranks among the most prevalent cancers worldwide, with early postoperative recurrence remaining a major cause of mortality. Body composition and inflammatory-nutritional indices (BCINI) have demonstra...
Machine Learning Algorithms Female Aged Colorectal Neoplasms Body Composition Humans Male Neoplasm Recurrence, Local Nutritional Status Inflammation Middle Aged Postoperative Period Support Vector Machine Nutrition Assessment Bayes Theorem ROC Curve
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Evaluation of uncertainty estimation methods in medical image segmentation: Exploring the usage of uncertainty in clinical deployment.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 1, 2025
Uncertainty estimation methods are essential for the application of artificial intelligence (AI) models in medical image segmentation, particularly in addressing reliability and feasibility challenges in clinical deployment. Despite their significanc...
Artificial Intelligence Algorithms Reproducibility of Results Humans Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Uncertainty
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Temporal convolutional neural network-based feature extraction and asynchronous channel information fusion method for heart abnormality detection in phonocardiograms.

Computer methods and programs in biomedicine Sep 1, 2025
BACKGROUND AND OBJECTIVE: Auscultation-based cardiac abnormality detection is valuable screening approach in pediatric populations, particularly in resource-limited settings. However, its clinical utility is often limited by phonocardiogram (PCG) sig...
ROC Curve Humans Signal Processing, Computer-Assisted Neural Networks, Computer Phonocardiography Algorithms Convolutional Neural Networks Child
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Development and interpretation of a pathomics-based model for the prediction of immune therapy response in colorectal cancer.

Methods (San Diego, Calif.) Sep 1, 2025
Colorectal cancer (CRC) is the third most common malignancy and the second leading cause of cancer-related deaths worldwide, with a 5-year survival rate below 20 %. Immunotherapy, particularly immune checkpoint blockade (ICB)-based therapies, has bec...
Humans Neural Networks, Computer Algorithms Immunotherapy Hyaluronan Receptors Colorectal Neoplasms Immune Checkpoint Inhibitors Single-Cell Analysis
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