AIMC Topic: Radiography

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How to keep artificial intelligence evolving in the medical imaging world? Challenges and opportunities.

Science bulletin Mar 21, 2023
Radiography Diagnostic Imaging Artificial Intelligence Machine Learning
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Artificial Intelligence for Automated Implant Identification in Knee Arthroplasty: A Multicenter External Validation Study Exceeding 3.5 Million Plain Radiographs.

The Journal of arthroplasty Mar 20, 2023
BACKGROUND: Surgical management of complications following knee arthroplasty demands accurate and timely identification of implant manufacturer and model. Automated image processing using deep machine learning has been previously developed and intern...
Humans Artificial Intelligence Radiography Arthroplasty, Replacement, Knee Machine Learning Retrospective Studies
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Prediction of orthognathic surgery plan from 3D cephalometric analysis via deep learning.

BMC oral health Mar 18, 2023
BACKGROUND: Preoperative planning of orthognathic surgery is indispensable for achieving ideal surgical outcome regarding the occlusion and jaws' position. However, orthognathic surgery planning is sophisticated and highly experience-dependent, which...
Face Orthognathic Surgical Procedures Orthognathic Surgery Imaging, Three-Dimensional Radiography Humans Deep Learning
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Framework for dual-energy-like chest radiography image synthesis from single-energy computed tomography based on cycle-consistent generative adversarial network.

Medical physics Mar 17, 2023
BACKGROUND: Dual-energy (DE) chest radiography (CXR) enables the selective imaging of two relevant materials, namely, soft tissue and bone structures, to better characterize various chest pathologies (i.e., lung nodule, bony lesions, etc.) and potent...
Image Processing, Computer-Assisted Radiography Thorax Artificial Intelligence Tomography, X-Ray Computed
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Deep Learning-Based Computer-Aided Detection System for Preoperative Chest Radiographs to Predict Postoperative Pneumonia.

Academic radiology Mar 16, 2023
RATIONALE AND OBJECTIVES: The role of preoperative chest radiography (CR) for prediction of postoperative pneumonia remains uncertain. We aimed to develop and validate a prediction model for postoperative pneumonia incorporating findings of preoperat...
Humans Deep Learning Middle Aged Retrospective Studies Pneumonia Disease Progression Male Radiography Radiography, Thoracic
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Osteoarthritis year in review 2022: imaging.

Osteoarthritis and cartilage Mar 15, 2023
PURPOSE: This narrative review summarizes original research focusing on imaging in osteoarthritis (OA) published between April 1st 2021 and March 31st 2022. We only considered English publications that were in vivo human studies.
Osteoarthritis Magnetic Resonance Imaging Radiography Artificial Intelligence Tomography, X-Ray Computed Humans
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AggregateNet: A deep learning model for automated classification of cervical vertebrae maturation stages.

Orthodontics & craniofacial research Mar 13, 2023
OBJECTIVE: A study of supervised automated classification of the cervical vertebrae maturation (CVM) stages using deep learning (DL) network is presented. A parallel structured deep convolutional neural network (CNN) with a pre-processing layer that ...
Radiography Cervical Vertebrae Male Deep Learning Humans Female
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A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children.

Journal of digital imaging Mar 10, 2023
Chest radiography is the modality of choice for the identification of rib fractures in young children and there is value for the development of computer-aided rib fracture detection in this age group. However, the automated identification of rib frac...
Rib Fractures Retrospective Studies Infant, Newborn Humans ROC Curve Radiography Child, Preschool Infant Child Deep Learning
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Incidentally found resectable lung cancer with the usage of artificial intelligence on chest radiographs.

PloS one Mar 10, 2023
PURPOSE: Detection of early lung cancer using chest radiograph remains challenging. We aimed to highlight the benefit of using artificial intelligence (AI) in chest radiograph with regard to its role in the unexpected detection of resectable early lu...
Retrospective Studies Radiography Lung Neoplasms Radiography, Thoracic Humans Artificial Intelligence
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Leg-Length Discrepancy Variability on Standard Anteroposterior Pelvis Radiographs: An Analysis Using Deep Learning Measurements.

The Journal of arthroplasty Mar 9, 2023
BACKGROUND: Leg-length discrepancy (LLD) is a critical factor in component selection and placement for total hip arthroplasty. However, LLD radiographic measurements are subject to variation based on the femoral/pelvic landmarks chosen. This study le...
Arthroplasty, Replacement, Hip Leg Radiography Pelvis Leg Length Inequality Humans Reproducibility of Results Deep Learning
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