AIMC Topic: Deep Learning

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AI-Driven fetal distress monitoring SDN-IoMT networks.

PloS one Jul 31, 2025
The healthcare industry is transforming with the integration of the Internet of Medical Things (IoMT) with AI-powered networks for improved clinical connectivity and advanced monitoring capabilities. However, IoMT devices struggle with traditional ne...
Artificial Intelligence Algorithms Pregnancy Humans Neural Networks, Computer Cardiotocography Internet of Things Heart Rate, Fetal Female Deep Learning Fetal Monitoring Fetal Distress
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A bearing fault diagnosis method based on hybrid artificial intelligence models.

PloS one Jul 31, 2025
The working state of rolling bearing severely affects the performance of industrial equipment. Addressing the issue of that the difficulty of incipient weak signals feature extraction influences the rolling bearing diagnosis accuracy, an efficient be...
Models, Theoretical Algorithms Neural Networks, Computer Deep Learning Humans Artificial Intelligence
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M3-Net++: A multi-scale, multi-level, multi-stream network for nuclei segmentation in breast cancer histopathology using hierarchical context extraction and hybrid loss optimization.

Computers in biology and medicine Jul 30, 2025
Breast cancer remains a leading cause of morbidity and mortality worldwide. Histopathology, particularly the analysis of nuclear morphology in tissue samples, is critical for diagnosing and understanding the progression of breast cancer. Accurate nuc...
Humans Female Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Cell Nucleus Breast Neoplasms Deep Learning
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A deep learning model for predicting radiation-induced xerostomia in patients with head and neck cancer based on multi-channel fusion.

BMC medical imaging Jul 30, 2025
OBJECTIVES: Radiation-induced xerostomia is a common sequela in patients who undergo head and neck radiation therapy. This study aims to develop a three-dimensional deep learning model to predict xerostomia by fusing data from the gross tumor volume ...
Radiation Injuries Xerostomia Adult Bayes Theorem Male Parotid Gland Tomography, X-Ray Computed Deep Learning Middle Aged Humans Female Head and Neck Neoplasms Aged Retrospective Studies
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HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides.

Communications biology Jul 30, 2025
We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukocyte antigens (HLAII) on the surface of antigen presenting cells. HLAIIPred is trained using a Transformer-based neural network and a dataset comprisin...
Humans Histocompatibility Antigens Class II Peptides Antigen Presentation Deep Learning
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Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers.

Scientific reports Jul 30, 2025
Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopathological images. However, limited scalability, adaptability, and interpretability challenge current methods for frequently grading brain tumors to accurat...
Deep Learning Imaging, Three-Dimensional Neoplasm Grading Image Processing, Computer-Assisted Algorithms Humans Reproducibility of Results Neural Networks, Computer Brain Neoplasms Machine Learning
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Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals.

Scientific reports Jul 30, 2025
Old and vision-impaired indoor action monitoring utilizes sensor technology to observe movement and interaction in the living area. This model can recognize changes from regular patterns, deliver alerts, and ensure safety in case of any dangers or la...
Humans Activities of Daily Living Neural Networks, Computer Internet of Things Deep Learning Persons with Visual Disabilities
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Deep learning for tooth detection and segmentation in panoramic radiographs: a systematic review and meta-analysis.

BMC oral health Jul 30, 2025
BACKGROUND: This systematic review and meta-analysis aimed to summarize and evaluate the available information regarding the performance of deep learning methods for tooth detection and segmentation in orthopantomographies.
Humans Sensitivity and Specificity Radiography, Panoramic Deep Learning Tooth
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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports Jul 30, 2025
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi...
Image Processing, Computer-Assisted Confidentiality Computer Security Privacy Machine Learning Humans Neural Networks, Computer Algorithms Deep Learning
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A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing.

Scientific reports Jul 30, 2025
The widespread dissemination of misinformation and the diverse public sentiment observed during the COVID-19 pandemic highlight the necessity for accurate sentiment analysis of social media discourse. This study proposes a hybrid deep learning (DL) m...
SARS-CoV-2 Deep Learning Social Media Pandemics COVID-19 Humans
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