AIMC Topic: Algorithms

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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography.

BMC pulmonary medicine Jul 12, 2025
BACKGROUND: Pulmonary nodules seen by computed tomography (CT) can be benign or malignant, and early detection is important for optimal management. The existing manual methods of identifying nodules have limitations, such as being time-consuming and ...
Deep Learning Algorithms Multiple Pulmonary Nodules Humans Solitary Pulmonary Nodule Neural Networks, Computer Tomography, X-Ray Computed Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Sensitivity and Specificity Support Vector Machine
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Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography.

Scientific reports Jul 12, 2025
Due to symptomatic gait imbalance and a high incidence of falls, patients with cervical disease-including degenerative cervical myelopathy-have a significantly increased risk of fragility fractures. To prevent such fractures in patients with cervical...
Osteoporosis Lumbar Vertebrae Female Bone Diseases, Metabolic Aged Deep Learning Femur Neck Humans Radiography Sensitivity and Specificity Neural Networks, Computer Cervical Vertebrae Male Algorithms Middle Aged
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A deep learning approach for heart disease detection using a modified multiclass attention mechanism with BiLSTM.

Scientific reports Jul 12, 2025
Heart disease remains the leading cause of death globally, mainly caused by delayed diagnosis and indeterminate categorization. Many of traditional ML/DL methods have limitations of misclassification, similar features, less training data, heavy compu...
Databases, Factual Deep Learning Heart Diseases Humans Neural Networks, Computer Algorithms
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Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture.

Scientific reports Jul 12, 2025
The brain tumours originate in the brain or its surrounding structures, such as the pituitary and pineal glands, and can be benign or malignant. While benign tumours may grow into neighbouring tissues, metastatic tumours occur when cancer from other ...
Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging Brain Neoplasms Pituitary Neoplasms Deep Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms.

Scientific reports Jul 12, 2025
Right ventricular dysfunction (RVD) is strongly associated with increased mortality in patients with acute pulmonary embolism (PE), making its early detection crucial. Identifying RVD risk factors rapidly, accurately, and economically within the acut...
Humans Machine Learning Pulmonary Embolism Algorithms Ventricular Dysfunction, Right Female Supervised Machine Learning Risk Factors Aged Aged, 80 and over Male Middle Aged
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Machine learning-based prediction of antimicrobial resistance and identification of AMR-related SNPs in Mycobacterium tuberculosis.

BMC genomic data Jul 12, 2025
BACKGROUND: Mycobacterium tuberculosis (MTB) is a human-specific pathogen that primarily infects humans, causing tuberculosis (TB). Antimicrobial resistance (AMR) in MTB presents a formidable challenge to global health. The employment of machine lear...
Isoniazid Rifampin Antitubercular Agents Whole Genome Sequencing Mycobacterium tuberculosis Humans Machine Learning Algorithms Drug Resistance, Bacterial Microbial Sensitivity Tests Polymorphism, Single Nucleotide
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Neural network based AI model for lung health assessment.

Scientific reports Jul 12, 2025
Treating pulmonary diseases is pivotal in healthcare since they are the third leading cause of mortality globally. To aid medical experts in diagnosis, various studies have been conducted using artificial intelligence (AI) compatible devices to analy...
Humans Lung Lung Diseases Respiratory Sounds Neural Networks, Computer Artificial Intelligence Algorithms
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Tiny-objective segmentation for spot signs on multi-phase CT angiography via contrastive learning with dynamic-updated positive-negative memory banks.

Computers in biology and medicine Jul 11, 2025
BACKGROUND AND OBJECTIVE: Presence of spot sign on CT Angiography (CTA) is associated with hematoma growth in patients with intracerebral hemorrhage. Measuring spot sign volume over time may aid to predict hematoma expansion. Due to the difficulties ...
Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Algorithms Image Processing, Computer-Assisted Cerebral Hemorrhage Humans Machine Learning
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Deep homo-heterogeneous association mining with hybrid scholars and multidimensional mixed moment networks: Embedding-Driven prediction of microbe-drug interactions.

Computers in biology and medicine Jul 11, 2025
Drug repurposing accelerates microbial therapy development by bypassing the costly and time-consuming traditional drug discovery process. However, existing computational methods for predicting drug-microbe associations (MDAs) struggle to capture comp...
Humans Computational Biology Drug Repositioning Data Mining Neural Networks, Computer Algorithms Drug Discovery
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Enhancing Parkinson's disease prediction using meta-heuristic optimized machine learning models.

Personalized medicine Jul 11, 2025
Parkinson's disease is a progressive neurological disorder affecting movement and cognition. Early detection is crucial but challenging with traditional methods. This study applies meta-heuristic optimization to enhance machine learning prediction mo...
Middle Aged Logistic Models Support Vector Machine Parkinson Disease Female Humans Aged Machine Learning Male Algorithms
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