AI Medical Compendium Journal:
Journal of applied clinical medical physics

Showing 71 to 80 of 159 articles

Machine learning-based radiotherapy time prediction and treatment scheduling management.

Journal of applied clinical medical physics Aug 17, 2023
PURPOSE: The utility efficiency of medical devices is important, especially for countries such as China, which have a large population and shortage of medical care resources. Radiotherapy devices are among the most valuable and specialized equipment ...
Humans Hospitals China Radiation Oncology Artificial Intelligence Machine Learning
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Deep learning-based motion correction algorithm for coronary CT angiography: Lowering the phase requirement for morphological and functional evaluation.

Journal of applied clinical medical physics Jul 24, 2023
PURPOSE: To investigate the performance of a deep learning-based motion correction algorithm (MCA) at various cardiac phases of coronary computed tomography angiography (CCTA), and determine the extent to which it may allow for reliable morphological...
Algorithms Retrospective Studies Tomography, X-Ray Computed Humans Constriction, Pathologic Computed Tomography Angiography Coronary Artery Disease Fractional Flow Reserve, Myocardial Deep Learning Coronary Angiography
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Feasibility evaluation of novel AI-based deep-learning contouring algorithm for radiotherapy.

Journal of applied clinical medical physics Jul 18, 2023
PURPOSE: To evaluate the clinical feasibility of the Siemens Healthineers AI-Rad Companion Organs RT VA30A (Organs-RT) auto-contouring algorithm for organs at risk (OARs) of the pelvis, thorax, and head and neck (H&N).
Organs at Risk Radiotherapy Planning, Computer-Assisted Neck Feasibility Studies Algorithms Deep Learning Humans
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Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose-mimicking optimization.

Journal of applied clinical medical physics Jun 19, 2023
PURPOSE: The purpose of this study is to investigate the use of a deep learning architecture for automated treatment planning for proton pencil beam scanning (PBS).
Protons Organs at Risk Humans Radiotherapy Planning, Computer-Assisted Retrospective Studies Radiotherapy, Intensity-Modulated Radiotherapy Dosage Deep Learning Proton Therapy
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Deep learning-based body weight from scout images can be an alternative to actual body weight in CT radiation dose management.

Journal of applied clinical medical physics Jun 19, 2023
PURPOSE: Accurate body weight measurement is essential to promote computed tomography (CT) dose optimization; however, body weight cannot always be measured prior to CT examination, especially in the emergency setting. The aim of this study was to in...
Humans Retrospective Studies Body Weight Adult Tomography, X-Ray Computed Radiation Dosage Deep Learning
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Reducing scan time in Lu planar scintigraphy using convolutional neural network: A Monte Carlo simulation study.

Journal of applied clinical medical physics Jun 1, 2023
PURPOSE: The aim of this study was to reduce scan time in Lu planar scintigraphy through the use of convolutional neural network (CNN) to facilitate personalized dosimetry for Lu-based peptide receptor radionuclide therapy.
Radioisotopes Radionuclide Imaging Receptors, Peptide Neural Networks, Computer Monte Carlo Method Humans
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Improvement of deep learning prediction model in patient-specific QA for VMAT with MLC leaf position map and patient's dose distribution.

Journal of applied clinical medical physics Jun 1, 2023
PURPOSE: Deep learning-based virtual patient-specific quality assurance (QA) is a novel technique that enables patient QA without measurement. However, this method could be improved by further evaluating the optimal data to be used as input. Therefor...
Prostate Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning Prostatic Neoplasms Radiotherapy, Intensity-Modulated Humans Male
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Energy spectrum CT index-based machine learning model predicts the effect of intravenous thrombolysis in lower limbs.

Journal of applied clinical medical physics May 30, 2023
To develop a noninvasive machine learning (ML) model based on energy spectrum computed tomography venography (CTV) indices for preoperatively predicting the effect of intravenous thrombolytic treatment in lower limbs. A total of 3492 slices containin...
Nomograms Retrospective Studies Lower Extremity Humans Tomography, X-Ray Computed Thrombolytic Therapy Machine Learning
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Contour-guided deep learning based deformable image registration for dose monitoring during CBCT-guided radiotherapy of prostate cancer.

Journal of applied clinical medical physics May 25, 2023
PURPOSE: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulation during radiotherapy of prostate cancer patients.
Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Deep Learning Male Cone-Beam Computed Tomography
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Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy.

Journal of applied clinical medical physics May 12, 2023
Deep learning (DL) models for radiation therapy (RT) image segmentation require accurately annotated training data. Multiple organ delineation guidelines exist; however, information on the used guideline is not provided with the delineation. Extracti...
Pelvic Neoplasms Urinary Bladder Pelvis Organs at Risk Male Deep Learning Humans Image Processing, Computer-Assisted
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