AIMC Topic: Quality Assurance, Health Care

Clear Filters Showing 21 to 30 of 91 articles

Deep learning for patient-specific quality assurance of volumetric modulated arc therapy: Prediction accuracy and cost-sensitive classification performance.

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) Aug 26, 2024
PURPOSE: To evaluate a deep learning model's performance in predicting and classifying patient-specific quality assurance (PSQA) results for volumetric modulated arc therapy (VMAT), aiming to streamline PSQA workflows and reduce the onsite measuremen...
Costs and Cost Analysis Radiotherapy, Intensity-Modulated Humans Deep Learning Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care
View on PubMed DOI

Machine learning and deep learning prediction of patient specific quality assurance in breast IMRT radiotherapy plans using Halcyon specific complexity indices.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Aug 17, 2024
INTRODUCTION: New radiotherapy machines such as Halcyon are capable of delivering dose-rate of 600 monitor-units per minute, allowing large numbers of patients treated per day. However, patient-specific quality assurance (QA) is still required, which...
Humans Machine Learning Female Quality Assurance, Health Care Radiotherapy Dosage Radiotherapy, Intensity-Modulated Breast Neoplasms Deep Learning Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Error detection for radiotherapy planning validation based on deep learning networks.

Journal of applied clinical medical physics May 6, 2024
BACKGROUND: Quality assurance (QA) of patient-specific treatment plans for intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) necessitates prior validation. However, the standard methodology exhibits deficiencies...
Humans Algorithms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Neoplasms Deep Learning
View on PubMed DOI

Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 24, 2024
BACKGROUND: Late gadolinium enhancement (LGE) of the myocardium has significant diagnostic and prognostic implications, with even small areas of enhancement being important. Distinguishing between definitely normal and definitely abnormal LGE images ...
Predictive Value of Tests Myocardium Heart Diseases Contrast Media Magnetic Resonance Imaging Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Quality Assurance, Health Care Observer Variation Reproducibility of Results Aged Male Middle Aged Deep Learning Humans Databases, Factual Female
View on PubMed DOI

ChatGPT: Increasing accessibility for natural language processing in healthcare quality measurement.

Infection control and hospital epidemiology Nov 10, 2023
Natural Language Processing Quality Assurance, Health Care Artificial Intelligence
View on PubMed DOI

Clinical target volume delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 4, 2023
BACKGROUND AND PURPOSE: Previous studies on automatic delineation quality assurance (QA) have mostly focused on CT-based planning. As MRI-guided radiotherapy is increasingly utilized in prostate cancer treatment, there is a need for more research on ...
Magnetic Resonance Imaging Humans Prostatic Neoplasms Radiotherapy, Image-Guided Male Uncertainty Quality Assurance, Health Care Deep Learning
View on PubMed DOI

Predictive gamma passing rate of 3D detector array-based volumetric modulated arc therapy quality assurance for prostate cancer via deep learning.

Physical and engineering sciences in medicine Oct 6, 2022
To predict the gamma passing rate (GPR) of the three-dimensional (3D) detector array-based volumetric modulated arc therapy (VMAT) quality assurance (QA) for prostate cancer using a convolutional neural network (CNN) with the 3D dose distribution. On...
Quality Assurance, Health Care Radiotherapy, Intensity-Modulated Deep Learning Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Humans Male
View on PubMed DOI

Applications of machine and deep learning to patient-specific IMRT/VMAT quality assurance.

Journal of applied clinical medical physics Aug 3, 2021
In order to deliver accurate and safe treatment to cancer patients in radiation therapy using advanced techniques such as intensity modulated radiation therapy (IMRT) and volumetric-arc radiation therapy (VMAT), patient specific quality assurance (QA...
Humans Machine Learning Deep Learning Radiotherapy Dosage Radiotherapy, Intensity-Modulated Phantoms, Imaging Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care
View on PubMed DOI

Artificial intelligence for quality assurance in radiotherapy.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique Jun 24, 2021
In radiotherapy, patient-specific quality assurance is very time-consuming and causes machine downtime. It consists of testing (using measurement with a phantom and detector) if a modulated plan is correctly delivered by a treatment unit. Artificial ...
Poisson Distribution Workload Feasibility Studies Machine Learning Humans Algorithms Neural Networks, Computer Artificial Intelligence Quality Assurance, Health Care Radiotherapy Phantoms, Imaging
View on PubMed DOI

Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance.

International journal of radiation oncology, biology, physics Nov 13, 2020
PURPOSE: Our purpose was to assess the use of machine learning methods and Mobius 3D (M3D) dose calculation software to reduce the number of physical ion chamber (IC) dose measurements required for patient-specific quality assurance during corona vir...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated ROC Curve Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Humans Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals