AIMC Topic: Female

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Accuracy of a deep neural network for automated pulmonary embolism detection on dedicated CT pulmonary angiograms.

European journal of radiology Jun 1, 2025
PURPOSE: To assess the performance of a Deep Neural Network (DNN)-based prototype algorithm for automated PE detection on CTPA scans.
Pulmonary Embolism Aged, 80 and over Computed Tomography Angiography Adult Pulmonary Artery Sensitivity and Specificity Male Middle Aged Deep Learning Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Female Reproducibility of Results Aged Humans Neural Networks, Computer Algorithms
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Data independent acquisition proteomics and machine learning reveals that proteins associated with immunity are potential molecular markers for early diagnosis of autism.

Clinica chimica acta; international journal of clinical chemistry Jun 1, 2025
BACKGROUND: Early diagnosis of autism is critical to its treatment, but so far, there is no clear molecular marker for early diagnosis in children.
Humans Machine Learning Autistic Disorder Child, Preschool Child Proteomics Early Diagnosis Biomarkers Female Male
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Machine learning models based on a national-scale cohort accurately identify patients at high risk of deep vein thrombosis following primary total hip arthroplasty.

Orthopaedics & traumatology, surgery & research : OTSR Jun 1, 2025
BACKGROUND: The occurrence of deep venous thrombosis (DVT) following total hip arthroplasty (THA) poses a substantial risk of morbidity and mortality, highlighting the need for preoperative risk stratification and prophylaxis initiatives. However, th...
Venous Thrombosis Arthroplasty, Replacement, Hip Middle Aged Risk Assessment Postoperative Complications Machine Learning Databases, Factual Retrospective Studies Female Risk Factors Aged Male Humans
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Multi-class brain malignant tumor diagnosis in magnetic resonance imaging using convolutional neural networks.

Brain research bulletin Jun 1, 2025
Glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) are common malignant brain tumors with similar radiological features, while the accurate and non-invasive dialgnosis is essential for selecting appropriate...
Lymphoma Magnetic Resonance Imaging Glioblastoma Middle Aged Deep Learning Convolutional Neural Networks Humans Neural Networks, Computer Aged Female Adult Brain Neoplasms Male
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Computational pathology for breast cancer: Where do we stand for prognostic applications?

Breast (Edinburgh, Scotland) Jun 1, 2025
The very early days of artificial intelligence (AI) in healthcare are behind us. AI is now spreading in the healthcare sector and is gradually being implemented in routine clinical practice. Driven by the increasing digitization of microscope slides,...
Humans Artificial Intelligence Biomarkers, Tumor Computational Biology Prognosis Female Breast Neoplasms
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Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning Model.

Academic radiology Jun 1, 2025
RATIONALE AND OBJECTIVES: Routine knee MRI protocols for 1.5 T and 3 T scanners, do not include T2*-w gradient echo (T2*W) images, which are useful in several clinical scenarios such as the assessment of cartilage, synovial blooming (deposition of he...
Humans Female Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Adolescent Adult Child Male Magnetic Resonance Imaging Deep Learning Knee Joint
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Predicting 5-Year EDSS in Multiple Sclerosis with LSTM Networks: A Deep Learning Approach to Disease Progression.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jun 1, 2025
BACKROUNDS: Multiple Sclerosis (MS) is a neurodegerative disease that is common worldwide, has no definitive cure yet, and negatively affects the individual's quality of life due to disease-related disability. Predicting disability in MS is difficult...
Cohort Studies Disability Evaluation Multiple Sclerosis Middle Aged Humans Disease Progression Deep Learning Neural Networks, Computer Female Adult Male
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Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoising.

Artificial intelligence in medicine Jun 1, 2025
Nuclei segmentation plays a vital role in computer-aided histopathology image analysis. Numerous fully supervised learning approaches exhibit amazing performance relying on pathological image with precisely annotations. Whereas, it is difficult and t...
Humans Algorithms Female Image Processing, Computer-Assisted Cell Nucleus Cluster Analysis Uncertainty Supervised Machine Learning Image Interpretation, Computer-Assisted
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MVMD-TCCA: A method for gesture classification based on surface electromyographic signals.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Jun 1, 2025
Gesture recognition plays a fundamental role in enabling nonverbal communication and interaction, as well as assisting individuals with motor impairments in performing daily tasks. Surface electromyographic (sEMG) signals, which can effectively detec...
Humans Gestures Signal Processing, Computer-Assisted Electromyography Pattern Recognition, Automated Neural Networks, Computer Female Adult Male
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IdenBAT: Disentangled representation learning for identity-preserved brain age transformation.

Artificial intelligence in medicine Jun 1, 2025
Brain age transformation aims to convert reference brain images into synthesized images that accurately reflect the age-specific features of a target age group. The primary objective of this task is to modify only the age-related attributes of the re...
Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Age Factors Magnetic Resonance Imaging Young Adult Adult Male Aging Brain Female Aged Humans Machine Learning
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