Results 1 to 10 of about 18,422 (295)
Machine Learning Approaches in Remote Patient Monitoring and Healthcare QA
This paper presents an intelligent remote patient monitoring (RPM) system that integrates machine learning for predictive alerting and quality assurance (QA).
Dr. Raju Dindigala, Aminul Islam Rana
doaj +3 more sources
Purpose: Patient-specific quality assurance (QA) for CyberKnife is typically performed using micro ionization chambers and film dosimetry. However, micro ionization chambers tend to underestimate dose measurements in small radiation fields.
Kohei Okawa, Yoshifumi Hirota
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On the sensitivity of patient‐specific IMRT QA to MLC positioning errors
Accurate multileaf collimator (MLC) leaf positioning plays an essential role in the effective implementation of intensity modulated radiation therapy (IMRT). This work evaluates the sensitivity of current patient‐specific IMRT quality assurance (QA) procedures to minor MLC leaf positioning errors.
Yan, Guanghua +5 more
openaire +2 more sources
Integration of AI and Machine Learning in Radiotherapy QA
The use of machine learning and other sophisticated models to aid in prediction and decision making has become widely popular across a breadth of disciplines.
Maria F. Chan +2 more
doaj +1 more source
Aim: The Mobius3D software addresses limitations lacking in measurement-based methods in patient-specific quality assurance (QA). The objective of this study was to validate its dosimetric performance against conventionally used portal dose measurements ...
Yasmine Joy M. Labagnoy +3 more
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To perform patient-specific quality assurance (QA), the accuracy of the dose calculation algorithm is vital, especially in the lung cancer stereotactic body radiation therapy (SBRT).
Swati Dubey +2 more
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Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images
PurposeThis study presents novel quality assurance (QA) approach for volumetric modulated arc therapy (VMAT) that leverages frame-by-frame electronic portal imaging device (EPID) images integrated into Mobius3D for accurate three-dimensional dose ...
JaeHyun Seok +13 more
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Analysis of delivery and recalculation of dose using DICOM treatment records
Objective: A procedure has been proposed for patient-specific QA that, instead of comparing a measurement to the planned dose, compares the dose calculated by an independent system to the dose calculated by the planning system.
Z. Chen +8 more
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Purpose This study presents patient-specific quality assurance (QA) results from the first 395 clinical cases for the new helical TomoTherapy® platform (Radixact) coupled with dedicated Precision TPS.
Marco Fusella +7 more
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Objective: To characterise temporal lobe epilepsy (TLE) surgery-induced changes in brain network properties, as measured using diffusion weighted MRI, and investigate their association with postoperative seizure-freedom.
Nádia Moreira da Silva +9 more
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