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Preliminary findings regarding the association between patient demographics and ED experience scores across a regional health system: A cross sectional study using natural language processing of patient comments.

International journal of medical informatics Dec 10, 2024
OBJECTIVE: Existing literature shows associations between patient demographics and reported experiences of care, but this relationship is poorly understood. Our objective was to use natural language processing of patient comments to gain insight into...
Natural Language Processing Emergency Service, Hospital Patient Satisfaction Demography Cross-Sectional Studies Male Middle Aged Humans Adolescent Female Aged Young Adult Adult
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Non-invasive Prediction of Lymph Node Metastasis in NSCLC Using Clinical, Radiomics, and Deep Learning Features From F-FDG PET/CT Based on Interpretable Machine Learning.

Academic radiology Dec 10, 2024
PURPOSE: This study aimed to develop and evaluate a machine learning model combining clinical, radiomics, and deep learning features derived from PET/CT imaging to predict lymph node metastasis (LNM) in patients with non-small cell lung cancer (NSCLC...
Fluorodeoxyglucose F18 Carcinoma, Non-Small-Cell Lung Lymphatic Metastasis Positron Emission Tomography Computed Tomography Radiopharmaceuticals Middle Aged Deep Learning Lung Neoplasms Aged Humans Adult Machine Learning Radiomics Retrospective Studies Male Female
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Convolutional neural networks for automatic MR classification of myocardial iron overload in thalassemia major patients.

European radiology Dec 10, 2024
OBJECTIVES: To develop a deep-learning model for supervised classification of myocardial iron overload (MIO) from magnitude T2* multi-echo MR images.
Humans Neural Networks, Computer Retrospective Studies Female Deep Learning Convolutional Neural Networks Adolescent Child Young Adult Adult Sensitivity and Specificity Male Magnetic Resonance Imaging beta-Thalassemia Iron Overload Image Interpretation, Computer-Assisted
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Automatic plan selection using deep network-A prostate study.

Medical physics Dec 10, 2024
BACKGROUND: Recently, high-dose-rate (HDR) brachytherapy treatment plans generation was improved with the development of multicriteria optimization (MCO) algorithms that can generate thousands of pareto optimal plans within seconds. This brings a shi...
Automation Humans Deep Learning Algorithms Prostatic Neoplasms Brachytherapy Male Organs at Risk Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted
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Enhancing automatic sleep stage classification with cerebellar EEG and machine learning techniques.

Computers in biology and medicine Dec 10, 2024
Sleep disorders have become a significant health concern in modern society. To investigate and diagnose sleep disorders, sleep analysis has emerged as the primary research method. Conventional polysomnography primarily relies on cerebral electroencep...
Machine Learning Animals Male Mice Mice, Inbred C57BL Electroencephalography Signal Processing, Computer-Assisted Electromyography Cerebellum Polysomnography Sleep Stages
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An interpretable deep learning model for hallux valgus prediction.

Computers in biology and medicine Dec 10, 2024
BACKGROUND: This work developed an interpretable deep learning model to automatically annotate landmarks and calculate the hallux valgus angle (HVA) and the intermetatarsal angle (IMA), reducing the time and error of manual calculations by medical ex...
Radiography Hallux Valgus Humans Female Male Deep Learning
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MRI classification of progressive supranuclear palsy, Parkinson disease and controls using deep learning and machine learning algorithms for the identification of regions and tracts of interest as potential biomarkers.

Computers in biology and medicine Dec 10, 2024
BACKGROUND: Quantitative magnetic resonance imaging (MRI) analysis has shown promise in differentiating neurodegenerative Parkinsonian syndromes and has significantly advanced our understanding of diseases like progressive supranuclear palsy (PSP) in...
Diffusion Tensor Imaging Supranuclear Palsy, Progressive Deep Learning Magnetic Resonance Imaging Parkinson Disease Image Interpretation, Computer-Assisted Aged Male Middle Aged Humans Machine Learning Algorithms Biomarkers Brain Female
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Development and validation of a deep learning model for morphological assessment of myeloproliferative neoplasms using clinical data and digital pathology.

British journal of haematology Dec 10, 2024
The subjectivity of morphological assessment and the overlapping pathological features of different subtypes of myeloproliferative neoplasms (MPNs) make accurate diagnosis challenging. To improve the pathological assessment of MPNs, we developed a di...
Middle Aged Deep Learning Bone Marrow Myeloproliferative Disorders Humans Female Aged Aged, 80 and over Adult Male
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Utilizing deep learning-based causal inference to explore vancomycin's impact on continuous kidney replacement therapy necessity in blood culture-positive intensive care unit patients.

Microbiology spectrum Dec 10, 2024
Patients with positive blood cultures in the intensive care unit (ICU) are at high risk for septic acute kidney injury requiring continuous kidney replacement therapy (CKRT), especially when treated with vancomycin. This study developed a machine lea...
Continuous Renal Replacement Therapy Deep Learning Acute Kidney Injury Sepsis Intensive Care Units Aged Blood Culture Female Adult Vancomycin Male Humans Middle Aged Machine Learning Anti-Bacterial Agents Retrospective Studies
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End-to-end deep learning patient level classification of affected territory of ischemic stroke patients in DW-MRI.

Neuroradiology Dec 10, 2024
PURPOSE: To develop an end-to-end DL model for automated classification of affected territory in DWI of stroke patients.
Aged, 80 and over Adult Male Humans Middle Aged Retrospective Studies Deep Learning Female Ischemic Stroke Aged Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging
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