AIMC Topic: Quality Assurance, Health Care
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Quality and mechanical efficiency of automated knowledge-based planning for volumetric-modulated arc therapy in head and neck cancer.
Journal of applied clinical medical physics
Dec 1, 2024
OBJECTIVES: This study aimed to examine the effectiveness of the automated RapidPlan in assessing plan quality and to explore how beam complexity affects the mechanical performance of volumetric modulated arc therapy for head and neck cancers.
Brain MR-only workflow in clinical practice: A comparison among generators for quality assurance and patient positioning.
Journal of applied clinical medical physics
Nov 25, 2024
BACKGROUND AND PURPOSE: Routine quality control procedures are still required for sCT based on artificial intelligence (AI) to verify the performance of the generators. The aim of this study was to evaluate three generators based on AI or bulk densit...
Workflow
Radiotherapy Planning, Computer-Assisted
Quality Assurance, Health Care
Brain Neoplasms
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Phantoms, Imaging
Radiotherapy Dosage
Radiotherapy, Intensity-Modulated
Patient Positioning
Humans
Artificial Intelligence
Tomography, X-Ray Computed
Assessment of pencil beam scanning proton therapy beam delivery accuracy through machine learning and log file analysis.
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)
Nov 1, 2024
PURPOSE: Comprehensive Quality Assurance (QA) protocols are necessary for complex beam delivery systems like Pencil Beam Scanning (PBS) proton therapy. This study focuses on automating the evaluation of beam delivery accuracy using irradiation log fi...
[Possibilities of the utilization of trauma networks of the German Society for Trauma Surgery using digital solutions].
Unfallchirurgie (Heidelberg, Germany)
Oct 9, 2024
This paper describes the use of digital solutions to improve the care of trauma patients in Germany. The focus is on the trauma networks of the German Society for Trauma Surgery (Deutsche Gesellschaft für Unfallchirurgie, DGU). The use of digital sol...
Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging.
Abdominal radiology (New York)
Sep 18, 2024
PURPOSE: Retrospectively compare image quality, radiologist diagnostic confidence, and time for images to reach PACS for contrast enhanced abdominopelvic CT examinations created on the scanner console by technologists versus those generated automatic...
Quality Assurance, Health Care
Radiology Information Systems
Emergency Service, Hospital
Radiography, Abdominal
Artificial Intelligence
Male
Pelvis
Retrospective Studies
Middle Aged
Radiographic Image Interpretation, Computer-Assisted
Tomography, X-Ray Computed
Contrast Media
Female
Humans
Aged
Adult
Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies Using AI (QUADAS-AI): Protocol for a Qualitative Study.
JMIR research protocols
Sep 18, 2024
BACKGROUND: Quality assessment of diagnostic accuracy studies (QUADAS), and more recently QUADAS-2, were developed to aid the evaluation of methodological quality within primary diagnostic accuracy studies. However, its current form, QUADAS-2 does no...
Deep learning for contour quality assurance for RTOG 0933: In-silico evaluation.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Aug 31, 2024
PURPOSE: To validate a CT-based deep learning (DL) hippocampal segmentation model trained on a single-institutional dataset and explore its utility for multi-institutional contour quality assurance (QA).
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...
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...
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...
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