AIMC Topic: Aged
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Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using a multimodal neural network.
Scientific reports
Jul 16, 2024
Hematoma expansion occasionally occurs in patients with intracerebral hemorrhage (ICH), associating with poor outcome. Multimodal neural networks incorporating convolutional neural network (CNN) analysis of images and neural network analysis of tabul...
Construction of a clinical prediction model for complicated appendicitis based on machine learning techniques.
Scientific reports
Jul 16, 2024
Acute appendicitis is a typical surgical emergency worldwide and one of the common causes of surgical acute abdomen in the elderly. Accurately diagnosing and differentiating acute appendicitis can assist clinicians in formulating a scientific and rea...
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.
Scientific reports
Jul 16, 2024
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with me...
Deep learning approach to femoral AVN detection in digital radiography: differentiating patients and pre-collapse stages.
BMC musculoskeletal disorders
Jul 16, 2024
OBJECTIVE: This study aimed to evaluate a new deep-learning model for diagnosing avascular necrosis of the femoral head (AVNFH) by analyzing pelvic anteroposterior digital radiography.
Deriving Automated Device Metadata From Intracranial Pressure Waveforms: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury ICU Physiology Cohort Analysis.
Critical care explorations
Jul 16, 2024
IMPORTANCE: Treatment for intracranial pressure (ICP) has been increasingly informed by machine learning (ML)-derived ICP waveform characteristics. There are gaps, however, in understanding how ICP monitor type may bias waveform characteristics used ...
Deep Learning Assisted Classification of T1ρ-MR Based Intervertebral Disc Degeneration Phases.
Journal of magnetic resonance imaging : JMRI
Jul 15, 2024
BACKGROUND: According to the T1ρ value of nucleus pulposus, our previous study has found that intervertebral disc degeneration (IDD) can be divided into three phases based on T1ρ-MR, which is helpful for the selection of biomaterial treatment timing....
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Image Interpretation, Computer-Assisted
Intervertebral Disc Degeneration
Low Back Pain
Intervertebral Disc
Nucleus Pulposus
Male
Middle Aged
Deep Learning
ROC Curve
Female
Reproducibility of Results
Aged
Adult
Humans
Retrospective Studies
Deep learning-based hyperspectral technique identifies metastatic lymph nodes in oral squamous cell carcinoma-A pilot study.
Oral diseases
Jul 15, 2024
AIMS: To establish a system based on hyperspectral imaging and deep learning for the detection of cancer cells in metastatic lymph nodes.
Enhanced enchondroma detection from x-ray images using deep learning: A step towards accurate and cost-effective diagnosis.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Jul 15, 2024
This study investigates the automated detection of enchondromas, benign cartilage tumors, from x-ray images using deep learning techniques. Enchondromas pose diagnostic challenges due to their potential for malignant transformation and overlapping ra...
Examining individual and contextual predictors of disability in Chinese older adults: A machine learning approach.
International journal of medical informatics
Jul 15, 2024
BACKGROUND: There is a large gap of understanding the determinants of disability, especially the contextual characteristics. Therefore, this study aimed to examine the important predictors of disability in Chinese older adults based on the social eco...
Diagnostic utility of transfer learning by using convolutional neural network for cytological diagnosis of malignant effusions.
Diagnostic cytopathology
Jul 15, 2024
INTRODUCTION: Cytological analysis of effusion specimens provides critical information regarding the diagnosis and staging of malignancies, thus guiding their treatment and subsequent monitoring. Keeping in view the challenges encountered in the morp...
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