AIMC Topic: Radiation Exposure

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Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care.

EBioMedicine Apr 4, 2020
BACKGROUND: Interstitial lung disease requires frequent re-examination, which directly causes excessive cumulative radiation exposure. To date, AI has not been applied to CT for enhancing clinical care; thus, we hypothesize AI may empower CT with int...
Humans Machine Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted Lung Diseases, Interstitial Radiation Exposure Patient-Specific Modeling Female Male Middle Aged
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Overlooked pitfalls in multi-class machine learning classification in radiation oncology and how to avoid them.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jan 25, 2020
In radiation oncology, Machine Learning classification publications are typically related to two outcome classes, e.g. the presence or absence of distant metastasis. However, multi-class classification problems also have great clinical relevance, e.g...
Radiation Exposure Humans Technology Assessment, Biomedical Machine Learning Monte Carlo Method Biomarkers Radiation Injuries Area Under Curve Risk Factors Radiation Oncology Models, Theoretical
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Cath Lab Robotics: Paradigm Change in Interventional Cardiology?

Current cardiology reports Aug 31, 2019
PURPOSE OF REVIEW: To review the contemporary evidence for robotic-assisted percutaneous coronary and vascular interventions, discussing its current capabilities, limitations, and potential future applications.
Humans Treatment Outcome Robotics Coronary Angiography Radiation Injuries Percutaneous Coronary Intervention Radiation Exposure Coronary Artery Disease Cardiology Therapy, Computer-Assisted
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Imaging Quality Control in the Era of Artificial Intelligence.

Journal of the American College of Radiology : JACR Jun 26, 2019
The advent of artificial intelligence (AI) promises to have a transformational impact on quality in medicine, including in radiology. However, experience has shown that quality tools alone are often not sufficient to bring about consistent excellent ...
Risk Assessment Diagnostic Imaging Radiology Positron-Emission Tomography Artificial Intelligence Forecasting Tomography, X-Ray Computed Quality Control Automation Radiation Exposure Humans
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Development of a deep neural network for generating synthetic dual-energy chest x-ray images with single x-ray exposure.

Physics in medicine and biology May 31, 2019
Dual-energy chest radiography (DECR) is a medical imaging technology that can improve diagnostic accuracy. This technique can decompose single-energy chest radiography (SECR) images into separate bone- and soft tissue-only images. This can, however, ...
Humans Deep Learning Image Processing, Computer-Assisted Radiation Exposure Radiography Thorax
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Reduction of operator radiation exposure using a passive robotic device during fluoroscopy-guided arterial puncture: an experimental study in a swine model.

European radiology experimental May 29, 2019
BACKGROUND: Vascular interventions imply radiation exposure to the operating physician (OP). To reduce radiation exposure, we propose a novel passive robotic device for fluoroscopy-guided arterial puncturing.
Models, Animal Radiation Exposure Arteries Fluoroscopy Surgery, Computer-Assisted Punctures Animals Occupational Exposure Robotics Male Swine
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Democratizing AI.

Journal of the American College of Radiology : JACR May 16, 2019
Artificial Intelligence Forecasting Humans Quality Control Male Radiation Exposure Tomography, X-Ray Computed Radiology Magnetic Resonance Imaging Radiologists Female Risk Factors
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Iterative quality enhancement via residual-artifact learning networks for low-dose CT.

Physics in medicine and biology Oct 23, 2018
Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans have been major clinical concerns. The radiation exposure can be reduced effectively via lowering the x-ray tube current (mA). However, this strategy ...
Radiation Dosage Plaque, Atherosclerotic Radionuclide Imaging Humans Radiation Exposure Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Machine Learning Artifacts Algorithms Brain Diseases Tomography, X-Ray Computed
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Robotically Assisted CBCT-Guided Needle Insertions: Preliminary Results in a Phantom Model.

Cardiovascular and interventional radiology Oct 10, 2018
AIM: To compare robotic-assisted needle insertions performed under CBCT guidance to standard manual needle insertions.
Time Factors Phantoms, Imaging Punctures Cone-Beam Computed Tomography Radiation Exposure Needles Robotics Image-Guided Biopsy
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Robotic-assisted transradial diagnostic coronary angiography.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Jan 4, 2018
Robotic percutaneous coronary interventions have recently been introduced in the cardiac catheterization laboratory. Robotics offers benefits of greater precision for stent placement and occupational hazard protection for operators and staff. First g...
Robotics Coronary Angiography Equipment Design Coronary Vessels Radial Artery Radiation Dosage Radiation Exposure Coronary Artery Disease Cardiac Catheters Time Factors Punctures Humans Catheterization, Peripheral Aged Predictive Value of Tests Male
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