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Multi-parameter MRI-Based Machine Learning Model to Evaluate the Efficacy of STA-MCA Bypass Surgery for Moyamoya Disease: A Pilot Study.

Journal of imaging informatics in medicine Jul 17, 2024
Superficial temporal artery-middle cerebral artery (STA-MCA) bypass surgery represents the primary treatment for Moyamoya disease (MMD), with its efficacy contingent upon collateral vessel development. This study aimed to develop and validate a machi...
Male Machine Learning Temporal Arteries Middle Aged Female Cerebral Revascularization Humans Pilot Projects Young Adult Treatment Outcome Adult Magnetic Resonance Imaging Middle Cerebral Artery Moyamoya Disease Adolescent
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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...
Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Aged Aged, 80 and over Adult Humans Sensitivity and Specificity Algorithms Rib Fractures Retrospective Studies Tomography, X-Ray Computed Female
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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.
Tibial Meniscus Injuries Adult Male Humans Deep Learning Female 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...
Tooth, Supernumerary Adolescent Child ROC Curve Radiography, Panoramic Adult Male Deep Learning Humans Neural Networks, Computer Retrospective Studies Female
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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.
Middle Aged Lung Deep Learning Lung Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Phantoms, Imaging Female Humans Aged Retrospective Studies Adult Tomography, X-Ray Computed Male
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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.
Humans Prospective Studies Female Neoplasm Staging Middle Aged Aged Rectum Deep Learning Aged, 80 and over Rectal Neoplasms Adenocarcinoma Adult Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male
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[The possible benefit of artificial intelligence in an organized population-related screening program : Initial results and perspective].

Radiologie (Heidelberg, Germany) Jul 17, 2024
BACKGROUND: Mammography screening programs (MSP) have shown that breast cancer can be detected at an earlier stage enabling less invasive treatment and leading to a better survival rate. The considerable numbers of interval breast cancer (IBC) and th...
Mammography Humans Artificial Intelligence Retrospective Studies Female Breast Neoplasms Mass Screening Early Detection of Cancer
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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...
Female Aged Aged, 80 and over Adult Humans Neural Networks, Computer Tomography, X-Ray Computed East Asian People Spine Male Middle Aged China Imaging, Three-Dimensional
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Using Machine Learning for Endoscopic Detection of Low-Grade Subglottic Stenosis: A Proof of Principle.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jul 17, 2024
The current study trains, tests, and evaluates a deep learning algorithm to detect subglottic stenosis (SGS) on endoscopy. A retrospective review of patients undergoing microlaryngoscopy-bronchoscopy was performed. A pretrained image classifier (Resn...
Humans Machine Learning Laryngoscopy Middle Aged Laryngostenosis Algorithms Deep Learning Retrospective Studies Bronchoscopy Female Proof of Concept Study Male
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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 Sensitivity and Specificity Male Lymphoma Middle Aged Deep Learning Contrast Media Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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