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Development and External Validation of a Detection Model to Retrospectively Identify Patients With Acute Respiratory Distress Syndrome.

Critical care medicine Jun 1, 2025
OBJECTIVE: The aim of this study was to develop and externally validate a machine-learning model that retrospectively identifies patients with acute respiratory distress syndrome (acute respiratory distress syndrome [ARDS]) using electronic health re...
Respiratory Distress Syndrome Retrospective Studies Electronic Health Records Female Aged Sensitivity and Specificity Male Middle Aged Respiration, Artificial Humans Machine Learning
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Ai-Aun Chatbot: A Pilot Study on the Effectiveness of an Artificial Intelligence Intervention for Mental Health Among Thai Older Adults.

Nursing & health sciences Jun 1, 2025
Mental health disorders are a significant concern for older adults. Technology has the potential to provide support and companionship, which may improve mental health outcomes. This pilot experimental study explored the feasibility and potential effe...
Aged Aged, 80 and over Mental Health Male Humans Artificial Intelligence Female Southeast Asian People Middle Aged Thailand Pilot Projects Generative Artificial Intelligence
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Towards robust multimodal ultrasound classification for liver tumor diagnosis: A generative approach to modality missingness.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: In medical image analysis, combining multiple imaging modalities enhances diagnostic accuracy by providing complementary information. However, missing modalities are common in clinical settings, limiting the effectiveness of...
Area Under Curve Ultrasonography Classification Algorithms Humans Data Accuracy Liver Neoplasms Female Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Male Predictive Learning Models Multimodal Imaging
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Machine learning-based prediction of hearing loss: Findings of the US NHANES from 2003 to 2018.

Hearing research Jun 1, 2025
The prevalence of hearing loss (HL) has emerged as an escalating public health concern globally. The objective of this study was to leverage data from the National Health and Nutritional Examination Survey (NHANES) to develop an interpretable predict...
Adult Male Middle Aged Risk Assessment Hearing Humans Reproducibility of Results Prevalence Hearing Loss Machine Learning Risk Factors Nutrition Surveys Female United States Aged Predictive Value of Tests Young Adult
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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.
Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Pulmonary Embolism Humans Computed Tomography Angiography Neural Networks, Computer Pulmonary Artery Aged Algorithms Aged, 80 and over Retrospective Studies Adult Female Sensitivity and Specificity Reproducibility of Results
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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 Autistic Disorder Child, Preschool Machine Learning Child Biomarkers Proteomics Female Early Diagnosis 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...
Humans Machine Learning Databases, Factual Venous Thrombosis Male Retrospective Studies Arthroplasty, Replacement, Hip Middle Aged Female Risk Assessment Risk Factors Postoperative Complications Aged
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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...
Magnetic Resonance Imaging Glioblastoma Middle Aged Deep Learning Convolutional Neural Networks Lymphoma Humans Neural Networks, Computer Female Aged Adult Brain Neoplasms Male
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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...
Signal-To-Noise Ratio Child Magnetic Resonance Imaging Knee Joint Image Interpretation, Computer-Assisted Humans Female Adult Male Deep Learning Adolescent
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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...
Humans Neural Networks, Computer Female Deep Learning Adult Cohort Studies Male Middle Aged Disability Evaluation Disease Progression Multiple Sclerosis
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