AIMC Topic: X-Rays

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An indirect estimation of x-ray spectrum via convolutional neural network and transmission measurement.

Physics in medicine and biology May 30, 2024
In this work, we aim to propose an accurate and robust spectrum estimation method by synergistically combining x-ray imaging physics with a convolutional neural network (CNN).The approach relies on transmission measurements, and the estimated spectru...
Monte Carlo Method Phantoms, Imaging X-Rays Neural Networks, Computer Image Processing, Computer-Assisted
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Cervical Spondylosis Diagnosis Based on Convolutional Neural Network with X-ray Images.

Sensors (Basel, Switzerland) May 26, 2024
The increase in Cervical Spondylosis cases and the expansion of the affected demographic to younger patients have escalated the demand for X-ray screening. Challenges include variability in imaging technology, differences in equipment specifications,...
Spondylosis X-Rays Image Processing, Computer-Assisted Cervical Vertebrae Humans Neural Networks, Computer Deep Learning
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Enhancing fracture diagnosis in pelvic X-rays by deep convolutional neural network with synthesized images from 3D-CT.

Scientific reports Apr 5, 2024
Pelvic fractures pose significant challenges in medical diagnosis due to the complex structure of the pelvic bones. Timely diagnosis of pelvic fractures is critical to reduce complications and mortality rates. While computed tomography (CT) is highly...
Humans X-Rays Fractures, Bone Neural Networks, Computer Radiography Tomography, X-Ray Computed
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Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.

Frontiers in endocrinology Mar 28, 2024
PURPOSE: To develop and validate a deep learning radiomics (DLR) model that uses X-ray images to predict the classification of osteoporotic vertebral fractures (OVFs).
Random Allocation Deep Learning X-Rays Spinal Fractures Humans Spine Radiomics Osteoporotic Fractures
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Screening and staging of chronic obstructive pulmonary disease with deep learning based on chest X-ray images and clinical parameters.

BMC pulmonary medicine Mar 26, 2024
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed with the current gold standard measure pulmonary function test (PFT). A more sensitive and simple option for early detection and severity evaluation of COPD could benefit prac...
Humans Retrospective Studies Pulmonary Disease, Chronic Obstructive Deep Learning Thorax X-Rays
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AI-Dentify: deep learning for proximal caries detection on bitewing x-ray - HUNT4 Oral Health Study.

BMC oral health Mar 18, 2024
BACKGROUND: Dental caries diagnosis requires the manual inspection of diagnostic bitewing images of the patient, followed by a visual inspection and probing of the identified dental pieces with potential lesions. Yet the use of artificial intelligenc...
Radiography, Bitewing Artificial Intelligence Deep Learning Oral Health Dental Caries Susceptibility Humans Dental Caries X-Rays
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Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence.

Scientific reports Mar 14, 2024
A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced quality of life from urinary system blockages. While medical experts can interpret kidney-ureter-bladder (KUB) X-ray images, specific images pose challenges...
X-Rays Artificial Intelligence Quality of Life Fluoroscopy Kidney Calculi Humans
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Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images.

PloS one Mar 11, 2024
Musculoskeletal conditions affect an estimated 1.7 billion people worldwide, causing intense pain and disability. These conditions lead to 30 million emergency room visits yearly, and the numbers are only increasing. However, diagnosing musculoskelet...
Emergency Service, Hospital Humans Musculoskeletal Diseases X-Rays Shoulder Deep Learning Arthritis
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Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings.

Scientific reports Mar 3, 2024
Interpreting chest X-rays is a complex task, and artificial intelligence algorithms for this purpose are currently being developed. It is important to perform external validations of these algorithms in order to implement them. This study therefore a...
Algorithms Prospective Studies Artificial Intelligence X-Rays Primary Health Care Radiography
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Artificial intelligence-based model for predicting pulmonary arterial hypertension on chest x-ray images.

BMC pulmonary medicine Feb 27, 2024
BACKGROUND: Pulmonary arterial hypertension is a serious medical condition. However, the condition is often misdiagnosed or a rather long delay occurs from symptom onset to diagnosis, associated with decreased 5-year survival. In this study, we devel...
Pulmonary Arterial Hypertension Thorax X-Rays Artificial Intelligence Deep Learning Humans
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