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Diagnostic Accuracy of Ultra-Low Dose CT Compared to Standard Dose CT for Identification of Fresh Rib Fractures by Deep Learning Algorithm.

Journal of imaging informatics in medicine Jul 17, 2024
The present study aimed to evaluate the diagnostic accuracy of ultra-low dose computed tomography (ULD-CT) compared to standard dose computed tomography (SD-CT) in discerning recent rib fractures using a deep learning algorithm detection of rib fract...
Algorithms Rib Fractures Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Sensitivity and Specificity Male Middle Aged Deep Learning Humans
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Achieving high accuracy in meniscus tear detection using advanced deep learning models with a relatively small data set.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jul 17, 2024
PURPOSE: This study aims to evaluate the effectiveness of advanced deep learning models, specifically YOLOv8 and EfficientNetV2, in detecting meniscal tears on magnetic resonance imaging (MRI) using a relatively small data set.
Humans Tibial Meniscus Injuries Female Adult Male Deep Learning Magnetic Resonance Imaging
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Deep learning with convolution neural network detecting mesiodens on panoramic radiographs: comparing four models.

Odontology Jul 17, 2024
The aim of this study was to develop an optimal, simple, and lightweight deep learning convolutional neural network (CNN) model to detect the presence of mesiodens on panoramic radiographs. A total of 628 panoramic radiographs with and without mesiod...
Adult Male Deep Learning Adolescent Humans Neural Networks, Computer Retrospective Studies Female Child ROC Curve Radiography, Panoramic Tooth, Supernumerary
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Deep learning reconstruction for zero echo time lung magnetic resonance imaging: impact on image quality and lesion detection.

Clinical radiology Jul 17, 2024
AIMS: This study aimed to examine the impact of deep-learning reconstruction (DLR) on zero echo time (ZTE) lung MRI.
Male Middle Aged Lung Deep Learning Female Lung Neoplasms Humans Aged Magnetic Resonance Imaging Retrospective Studies Adult Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Phantoms, Imaging
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Prospective and multi-reader evaluation of deep learning reconstruction-based accelerated rectal MRI: image quality, diagnostic performance, and reading time.

European radiology Jul 17, 2024
OBJECTIVES: To evaluate deep learning reconstruction (DLR)-based accelerated rectal magnetic resonance imaging (MRI) compared with standard MRI.
Middle Aged Deep Learning Adenocarcinoma Magnetic Resonance Imaging Neoplasm Staging Rectum Rectal Neoplasms Image Interpretation, Computer-Assisted Aged Aged, 80 and over Adult Male Humans Prospective Studies Female
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3D U-Net Neural Network Architecture-Assisted LDCT to Acquire Vertebral Morphology Parameters: A Vertebral Morphology Comprehensive Analysis in a Chinese Population.

Calcified tissue international Jul 17, 2024
To evaluate the feasibility of acquiring vertebral height from chest low-dose computed tomography (LDCT) images using an artificial intelligence (AI) system based on 3D U-Net vertebral segmentation technology and the correlation and features of verte...
Humans Neural Networks, Computer Tomography, X-Ray Computed Female East Asian People Spine Aged Male Aged, 80 and over Middle Aged Adult China Imaging, Three-Dimensional
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Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

Neuroradiology Jul 17, 2024
PURPOSE: To evaluate nnU-net's performance in automatically segmenting and volumetrically measuring ocular adnexal lymphoma (OAL) on multi-sequence MRI.
Female Aged Aged, 80 and over Adult Humans Eye Neoplasms Retrospective Studies Lymphoma Contrast Media Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Middle Aged Deep Learning
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Evaluation of transfer ensemble learning-based convolutional neural network models for the identification of chronic gingivitis from oral photographs.

BMC oral health Jul 17, 2024
BACKGROUND: To evaluate the performances of several advanced deep convolutional neural network models (AlexNet, VGG, GoogLeNet, ResNet) based on ensemble learning for recognizing chronic gingivitis from screening oral images.
Humans Neural Networks, Computer Female Adult Gingivitis Male Photography Deep Learning Photography, Dental Chronic Disease
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Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning: Prospective, Exploratory, Observational Study.

JMIR mHealth and uHealth Jul 17, 2024
BACKGROUND: Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood disorders (MDs), a major determinant of the worldwide diseas...
Female Adult Male Exercise Humans Prospective Studies Wearable Electronic Devices Universities Supervised Machine Learning Mood Disorders
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Direct Comparisons of Upper-Limb Motor Learning Performance Among Three Types of Haptic Guidance With Non-Assisted Condition in Spiral Drawing Task.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 17, 2024
In robot-assisted rehabilitation, it is unclear which type of haptic guidance is effective for regaining motor function because of the lack of direct comparisons among multiple types of haptic guidance. The objective of this study was to investigate ...
Healthy Volunteers Psychomotor Performance Humans Young Adult Motor Skills Upper Extremity Learning Adult Movement Female Male Robotics
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