AIMC Topic: Radiation Exposure

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Reduction of radiation exposure in chest radiography using deep learning-based noise reduction processing: A phantom and retrospective clinical study.

Radiography (London, England : 1995) Apr 24, 2025
INTRODUCTION: Intelligent noise reduction (INR), a deep learning-based noise reduction developed by Canon, is used in planar radiography to improve image quality and reduce patient exposure dose. This study aimed to evaluate the reduction of patient ...
Retrospective Studies Female Aged Adult Humans Radiation Dosage Radiography, Thoracic Phantoms, Imaging Radiation Exposure Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Power absorption and temperature rise in deep learning based head models for local radiofrequency exposures.

Physics in medicine and biology Mar 11, 2025
Computational uncertainty and variability of power absorption and temperature rise in humans for radiofrequency (RF) exposure is a critical factor in ensuring human protection. This aspect has been emphasized as a priority. However, accurately modeli...
Absorption, Radiation Radio Waves Humans Magnetic Resonance Imaging Temperature Head Deep Learning Radiometry Radiation Exposure
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Research on predicting radiographic exposure time in imaging based on neural network prediction models.

Clinical neurology and neurosurgery Jan 20, 2025
OBJECTIVE: To explore the anatomical and clinical factors that affect the radiographic exposure time in radial artery cerebral angiography and to establish a model.
Retrospective Studies Female Aged Adult Humans Neural Networks, Computer Brachiocephalic Trunk Fluoroscopy Aorta, Thoracic Cerebral Angiography Radiation Exposure Male Middle Aged Time Factors
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The SINFONIA project repository for AI-based algorithms and health data.

Frontiers in public health Oct 23, 2024
The SINFONIA project's main objective is to develop novel methodologies and tools that will provide a comprehensive risk appraisal for detrimental effects of radiation exposure on patients, workers, caretakers, and comforters, the public, and the env...
Humans Artificial Intelligence Software Algorithms Female Information Dissemination Breast Neoplasms Radiation Exposure Brain Neoplasms Lymphoma
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Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.

BMC medical informatics and decision making Jun 20, 2024
INTRODUCTION: The correlation between radiation exposure before pregnancy and abnormal birth weight has been previously proven. However, for large-for-gestational-age (LGA) babies in women exposed to radiation before becoming pregnant, there is no pr...
Infant, Newborn Adult China Birth Weight Machine Learning Pregnancy Female Radiation Exposure Fetal Macrosomia Humans
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Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstruction.

European journal of radiology May 22, 2024
BACKGROUND: Neck computed tomography (NCT) is essential for diagnosing suspected neck tumors and abscesses, but radiation exposure can be an issue. In conventional reconstruction techniques, limiting radiation dose comes at the cost of diminished dia...
Head and Neck Neoplasms Neck Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Radiation Exposure Adult Male Middle Aged Deep Learning Tomography, X-Ray Computed Female Aged Humans Retrospective Studies
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Comparative analysis of radiation exposure in robot-assisted total knee arthroplasty using popular robotic systems.

Journal of robotic surgery Mar 16, 2024
Robotic-assisted TKA (RATKA) is a rapidly emerging technique that has been shown to improve precision and accuracy in implant alignment in TKA. Robotic-assisted TKA (RATKA) uses computer software to create a three-dimensional model of the patient's k...
Retrospective Studies Robotics Robotic Surgical Procedures Arthroplasty, Replacement, Knee Radiation Exposure Humans
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Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?

Journal of cardiovascular computed tomography Mar 12, 2024
BACKGROUND: ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). Deep Learning Image Reconstruction (DLIR) could improve image quality while minimizing the radiation dose.
Humans Reproducibility of Results Infant Radiation Dosage Deep Learning Radiation Exposure Heart Defects, Congenital Electrocardiography Cardiac-Gated Imaging Techniques Phantoms, Imaging Computed Tomography Angiography Age Factors Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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Using deep learning-based denoising and iterative reconstruction to reduce radiation exposure - How low can we go?

European journal of radiology Feb 16, 2024
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiation Exposure Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT.

Academic radiology Nov 21, 2023
OBJECTIVES: In interventional bronchial artery embolization (BAE), periprocedural cone beam CT (CBCT) improves guiding and localization. However, a trade-off exists between 6-second runs (high radiation dose and motion artifacts, but low noise) and 3...
Radiography, Interventional Deep Learning Aged Radiation Exposure Humans Cone-Beam Computed Tomography Artifacts Adult Radiographic Image Interpretation, Computer-Assisted Bronchial Arteries Embolization, Therapeutic Male Retrospective Studies Radiation Dosage Middle Aged Female Signal-To-Noise Ratio
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