AIMC Topic: Prospective Studies
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Clinical value of deep learning image reconstruction on the diagnosis of pulmonary nodule for ultra-low-dose chest CT imaging.
Clinical radiology
Apr 20, 2024
PURPOSE: To compare the image quality and pulmonary nodule detectability between deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction-Veo (ASIR-V) in ultra-low-dose CT (ULD-CT).
Rapid 2D Na MRI of the calf using a denoising convolutional neural network.
Magnetic resonance imaging
Apr 19, 2024
PURPOSE: Na MRI can be used to quantify in-vivo tissue sodium concentration (TSC), but the inherently low Na signal leads to long scan times and/or noisy or low-resolution images. Reconstruction algorithms such as compressed sensing (CS) have been pr...
Utilising intraoperative respiratory dynamic features for developing and validating an explainable machine learning model for postoperative pulmonary complications.
British journal of anaesthesia
Apr 18, 2024
BACKGROUND: Timely detection of modifiable risk factors for postoperative pulmonary complications (PPCs) could inform ventilation strategies that attenuate lung injury. We sought to develop, validate, and internally test machine learning models that ...
Deep learning assists detection of esophageal cancer and precursor lesions in a prospective, randomized controlled study.
Science translational medicine
Apr 17, 2024
Endoscopy is the primary modality for detecting asymptomatic esophageal squamous cell carcinoma (ESCC) and precancerous lesions. Improving detection rate remains challenging. We developed a system based on deep convolutional neural networks (CNNs) fo...
On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition.
Physical chemistry chemical physics : PCCP
Apr 17, 2024
Atomic force microscopy (AFM or SPM) imaging is one of the best matches with machine learning (ML) analysis among microscopy techniques. The digital format of AFM images allows for direct utilization in ML algorithms without the need for additional p...
Validation of artificial intelligence-based bowel preparation assessment in screening colonoscopy (with video).
Gastrointestinal endoscopy
Apr 16, 2024
BACKGROUND AND AIMS: Accurate bowel preparation assessment is essential for determining colonoscopy screening intervals. Patients with suboptimal bowel preparation are at a high risk of missing >5 mm adenomas and should undergo an early repeat colono...
Highly-accelerated CEST MRI using frequency-offset-dependent k-space sampling and deep-learning reconstruction.
Magnetic resonance in medicine
Apr 16, 2024
PURPOSE: To develop a highly accelerated CEST Z-spectral acquisition method using a specifically-designed k-space sampling pattern and corresponding deep-learning-based reconstruction.
Development and Internal Validation of a Multivariable Prediction Model for Mortality After Hip Fracture with Machine Learning Techniques.
Calcified tissue international
Apr 16, 2024
In order to estimate the likelihood of 1, 3, 6 and 12 month mortality in patients with hip fractures, we applied a variety of machine learning methods using readily available, preoperative data. We used prospectively collected data from a single univ...
Outcome measures applied to robotic assistive technology for people with cerebral palsy: a pilot study.
Disability and rehabilitation. Assistive technology
Apr 15, 2024
The application of robotic devices is being used as Assistive Technology (AT) for improving rehabilitation interventions. The purposes of this research were to (1) test a novel low-cost robotic AT to support interventions for people with Cerebral Pal...
A machine learning algorithm for detecting abnormal patterns in continuous capnography and pulse oximetry monitoring.
Journal of clinical monitoring and computing
Apr 15, 2024
Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in alarm fatigue. Development of smart algorithms may facilitate accurate detection of abnormal ventilation, allowing intervention before patient deteri...
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