AIMC Topic: Deep Learning

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Finger drawing on smartphone screens enables early Parkinson's disease detection through hybrid 1D-CNN and BiGRU deep learning architecture.

PloS one Jul 14, 2025
BACKGROUND: Parkinson's disease (PD), a progressive neurodegenerative disorder prevalent in aging populations, manifests clinically through characteristic motor impairments including bradykinesia, rigidity, and resting tremor. Early detection and tim...
Male Middle Aged Case-Control Studies Neural Networks, Computer Female Aged Early Diagnosis Fingers Deep Learning Smartphone Parkinson Disease Humans
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A preprocessing method based on 3D U-Net for abdomen segmentation.

Computers in biology and medicine Jul 12, 2025
Deep learning methods have made significant progress in the field of biomedical automatic segmentation but still open to developments, especially due to the insufficient use of preprocessing methods. In this study, a pre-processing step is proposed b...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Abdomen Humans Algorithms Neural Networks, Computer Databases, Factual Deep Learning
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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 Multiple Pulmonary Nodules Humans Algorithms Lung Neoplasms Tomography, X-Ray Computed Solitary Pulmonary Nodule Support Vector Machine Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Artificial Intelligence
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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...
Lumbar Vertebrae Bone Diseases, Metabolic Femur Neck Humans Osteoporosis Deep Learning Sensitivity and Specificity Female Neural Networks, Computer Radiography Male Aged Algorithms Cervical Vertebrae 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 Pituitary Neoplasms Image Interpretation, Computer-Assisted Brain Neoplasms Deep Learning Image Processing, Computer-Assisted
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Multimodal deep learning for cephalometric landmark detection and treatment prediction.

Scientific reports Jul 12, 2025
In orthodontics and maxillofacial surgery, accurate cephalometric analysis and treatment outcome prediction are critical for clinical decision-making. Traditional approaches rely on manual landmark identification, which is time-consuming and subject ...
Humans Cephalometry Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Treatment Outcome Anatomic Landmarks
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Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis.

Nature communications Jul 12, 2025
Activity recognition in live-cell imaging is labor-intensive and requires significant human effort. Existing automated analysis tools are largely limited in versatility. We present the Intelligent Vesicle Exocytosis Analysis (IVEA) platform, an Image...
Fluorescent Dyes Microscopy, Fluorescence Neurons Deep Learning Synaptic Transmission Image Processing, Computer-Assisted Exocytosis Rats Humans Animals
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Advancing rare neurological disorder diagnosis: Addressing challenges with systematic reviews and AI-driven MRI meta-trans learning framework for neurodegenerative disorders.

Ageing research reviews Jul 11, 2025
Neurological Disorders (ND) affect a large portion of the global population, impacting the brain, spinal cord, and nerves. These disorders fall into categories such as NeuroDevelopmental (NDD), NeuroBiological (NBD), and NeuroDegenerative (ND) disord...
Humans Rare Diseases Magnetic Resonance Imaging Systematic Reviews as Topic Neurodegenerative Diseases Artificial Intelligence Machine Learning Deep Learning
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Fusion of bio-inspired optimization and machine learning for Alzheimer's biomarker analysis.

Computers in biology and medicine Jul 11, 2025
Identification of Alzheimer's Disease (AD), especially in its early phases, presents significant challenges due to the nonexistence of reliable biomarkers and effective treatments. Clinical trials for AD medications also suffer from high failure rate...
Humans Machine Learning Biomarkers Deep Learning Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging Female Alzheimer Disease Male
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