AIMC Topic: Middle Aged

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Automatic segmentation of high-risk clinical target volume and organs at risk in brachytherapy of cervical cancer with a convolutional neural network.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique Aug 14, 2024
PURPOSE: This study aimed to design an autodelineation model based on convolutional neural networks for generating high-risk clinical target volumes and organs at risk in image-guided adaptive brachytherapy for cervical cancer.
Humans Radiotherapy, Image-Guided Uterine Cervical Neoplasms Organs at Risk Middle Aged Neural Networks, Computer Radiotherapy Planning, Computer-Assisted Rectum Tomography, X-Ray Computed Brachytherapy Colon, Sigmoid Female Urinary Bladder Adult
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Epidemiological breast cancer prediction by country: A novel machine learning approach.

PloS one Aug 14, 2024
Breast cancer remains a significant contributor to cancer-related deaths among women globally. We seek for this study to examine the correlation between the incidence rates of breast cancer and newly identified risk factors. Additionally, we aim to u...
Incidence Risk Factors Humans Adult Machine Learning Breast Neoplasms Female Middle Aged
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Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.

PloS one Aug 14, 2024
The generalization of deep neural network algorithms to a broader population is an important challenge in the medical field. We aimed to apply self-supervised learning using masked autoencoders (MAEs) to improve the performance of the 12-lead electro...
Electrocardiography Supervised Machine Learning Ventricular Dysfunction, Left Echocardiography Humans Middle Aged Female Deep Learning Neural Networks, Computer Aged ROC Curve Algorithms Adult Male
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A Deep Learning-Derived Transdiagnostic Signature Indexing Hypoarousal and Impulse Control: Implications for Treatment Prediction in Psychiatric Disorders.

Biological psychiatry. Cognitive neuroscience and neuroimaging Aug 13, 2024
BACKGROUND: Psychiatric disorders are traditionally classified within diagnostic categories, but this approach has limitations. The Research Domain Criteria (RDoC) constitute a research classification system for psychiatric disorders based on dimensi...
Mental Disorders Female Young Adult Adult Electroencephalography Humans Sleep Wake Disorders Male Arousal Beta Rhythm Middle Aged Deep Learning Adolescent
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Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences.

Journal of imaging informatics in medicine Aug 13, 2024
Segmentation of infarcts is clinically important in ischemic stroke management and prognostication. It is unclear what role the combination of DWI, ADC, and FLAIR MRI sequences provide for deep learning in infarct segmentation. Recent technologies in...
Aged Male Middle Aged Deep Learning Magnetic Resonance Imaging Humans Stroke Neural Networks, Computer Image Interpretation, Computer-Assisted Female Diffusion Magnetic Resonance Imaging
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Predictive Models of Long-Term Outcome in Patients with Moderate to Severe Traumatic Brain Injury are Biased Toward Mortality Prediction.

Neurocritical care Aug 13, 2024
BACKGROUND: The prognostication of long-term functional outcomes remains challenging in patients with traumatic brain injury (TBI). Our aim was to demonstrate that intensive care unit (ICU) variables are not efficient to predict 6-month functional ou...
Middle Aged Brain Injuries, Traumatic Outcome Assessment, Health Care Glasgow Outcome Scale Intensive Care Units Female Adult Male Humans Machine Learning Prognosis
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The Usefulness of Low-Kiloelectron Volt Virtual Monochromatic Contrast-Enhanced Computed Tomography with Deep Learning Image Reconstruction Technique in Improving the Delineation of Pancreatic Ductal Adenocarcinoma.

Journal of imaging informatics in medicine Aug 13, 2024
To evaluate the usefulness of low-keV multiphasic computed tomography (CT) with deep learning image reconstruction (DLIR) in improving the delineation of pancreatic ductal adenocarcinoma (PDAC) compared to conventional hybrid iterative reconstruction...
Middle Aged Deep Learning Image Processing, Computer-Assisted Contrast Media Aged Aged, 80 and over Adult Male Pancreatic Neoplasms Radiographic Image Interpretation, Computer-Assisted Carcinoma, Pancreatic Ductal Humans Retrospective Studies Tomography, X-Ray Computed Female
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A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.

Journal of imaging informatics in medicine Aug 13, 2024
The diagnosis and treatment of pulmonary hypertension have changed dramatically through the re-defined diagnostic criteria and advanced drug development in the past decade. The application of Artificial Intelligence for the detection of elevated pulm...
Female Aged Sensitivity and Specificity Male Humans Radiography, Thoracic Pulmonary Arterial Hypertension Echocardiography Middle Aged Deep Learning Electrocardiography
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A machine learning-based pipeline for multi-organ/tissue patient-specific radiation dosimetry in CT.

European radiology Aug 13, 2024
OBJECTIVES: To develop a machine learning-based pipeline for multi-organ/tissue personalized radiation dosimetry in CT.
Radiation Dosage Monte Carlo Method Radiometry Machine Learning Retrospective Studies Humans Aged Tomography, X-Ray Computed Neural Networks, Computer Adult Female Male Middle Aged
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Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer.

International journal of radiation oncology, biology, physics Aug 13, 2024
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean salivary gland ...
Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Head and Neck Neoplasms Organs at Risk Humans Tomography, X-Ray Computed Female Xerostomia Probability Radiotherapy Dosage Radiation Injuries Salivary Glands
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