AI Medical Compendium Journal:
Journal of applied clinical medical physics

Showing 61 to 70 of 159 articles

Deep learning based automatic internal gross target volume delineation from 4D-CT of hepatocellular carcinoma patients.

Journal of applied clinical medical physics Nov 22, 2023
BACKGROUND: The location and morphology of the liver are significantly affected by respiratory motion. Therefore, delineating the gross target volume (GTV) based on 4D medical images is more accurate than regular 3D-CT with contrast. However, the 4D ...
Humans Liver Neoplasms Carcinoma, Hepatocellular Deep Learning Tumor Burden Four-Dimensional Computed Tomography
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Essentially unedited deep-learning-based OARs are suitable for rigorous oropharyngeal and laryngeal cancer treatment planning.

Journal of applied clinical medical physics Nov 9, 2023
Quality of organ at risk (OAR) autosegmentation is often judged by concordance metrics against the human-generated gold standard. However, the ultimate goal is the ability to use unedited autosegmented OARs in treatment planning, while maintaining th...
Humans Deep Learning Radiotherapy Dosage Radiotherapy, Intensity-Modulated Laryngeal Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted
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Unsupervised deep learning registration model for multimodal brain images.

Journal of applied clinical medical physics Oct 12, 2023
Multimodal image registration is a key for many clinical image-guided interventions. However, it is a challenging task because of complicated and unknown relationships between different modalities. Currently, deep supervised learning is the state-of-...
Magnetic Resonance Imaging Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Brain
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Preclinical validation of a novel deep learning-based metal artifact correction algorithm for orthopedic CT imaging.

Journal of applied clinical medical physics Oct 3, 2023
PURPOSE: To validate a novel deep learning-based metal artifact correction (MAC) algorithm for CT, namely, AI-MAC, in preclinical setting with comparison to conventional MAC and virtual monochromatic imaging (VMI) technique.
Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Algorithms Retrospective Studies Artifacts Metals Humans
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Deep learning in MRI-guided radiation therapy: A systematic review.

Journal of applied clinical medical physics Sep 15, 2023
Recent advances in MRI-guided radiation therapy (MRgRT) and deep learning techniques encourage fully adaptive radiation therapy (ART), real-time MRI monitoring, and the MRI-only treatment planning workflow. Given the rapid growth and emergence of new...
Radiotherapy, Image-Guided Radiotherapy Dosage Radiotherapy, Intensity-Modulated Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Neoplasms Deep Learning Image Processing, Computer-Assisted Humans
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Predicting successful clinical candidates for fiducial-free lung tumor tracking with a deep learning binary classification model.

Journal of applied clinical medical physics Sep 11, 2023
OBJECTIVES: The CyberKnife system is a robotic radiosurgery platform that allows the delivery of lung SBRT treatments using fiducial-free soft-tissue tracking. However, not all lung cancer patients are eligible for lung tumor tracking. Tumor size, de...
Humans Robotics Deep Learning Lung Neoplasms Computer Simulation Lung
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Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.

Journal of applied clinical medical physics Sep 5, 2023
PURPOSE: Two-dimensional radiotherapy is often used to treat cervical cancer in low- and middle-income countries, but treatment planning can be challenging and time-consuming. Neural networks offer the potential to greatly decrease planning time thro...
Deep Learning Female Image Processing, Computer-Assisted Uterine Cervical Neoplasms Humans Algorithms Tomography, X-Ray Computed Neural Networks, Computer
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The CNN model aided the study of the clinical value hidden in the implant images.

Journal of applied clinical medical physics Sep 1, 2023
PURPOSE: This article aims to construct a new method to evaluate radiographic image identification results based on artificial intelligence, which can complement the limited vision of researchers when studying the effect of various factors on clinica...
Neural Networks, Computer Artificial Intelligence Humans Dental Implants Bone and Bones Software Algorithms
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Deep learning-based detection and classification of multi-leaf collimator modeling errors in volumetric modulated radiation therapy.

Journal of applied clinical medical physics Aug 26, 2023
PURPOSE: The purpose of this study was to create and evaluate deep learning-based models to detect and classify errors of multi-leaf collimator (MLC) modeling parameters in volumetric modulated radiation therapy (VMAT), namely the transmission factor...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiometry Deep Learning Humans Radiotherapy Planning, Computer-Assisted Male
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Infrastructure tools to support an effective Radiation Oncology Learning Health System.

Journal of applied clinical medical physics Aug 25, 2023
PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the quality of care by integrating clinical, dosimetry, treatment delivery, research data in real-time. This paper describes a novel set of tools to suppor...
Radiation Oncology Knowledge Bases Child Learning Health System Biological Ontologies Humans
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