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The current process for radiotherapy treatment plan quality assurance (QA) relies on human inspection of treatment plans, which is time-consuming, error prone and oft reliant on inconsistently applied professional judgements. A previous proof-of-principle paper describe the use of a Bayesian network (BN) to aid in this process. This work studied how such a BN could be expanded and trained to better represent clinical practice.
This article was published in the following journal.
Name: Medical physics
Computerised tomography based radiotherapy workflow is limited by poor soft tissue definition in the pelvis and reliance on rigid registration methods. Current image guided radiotherapy and adaptive r...
An integrated approach combining Bayesian Network with GIS was developed for making a probabilistic prediction of sea level rise induced coastal erosion and assessing the implications of adaptation me...
To expedite the contouring process for MRI-guided adaptive radiotherapy (MR-IGART), a convolutional neural network (CNN) deep-learning (DL) model is proposed to accurately segment the liver, kidneys, ...
Health Insurance Marketplaces have received considerable attention for their narrow network health plans. Yet, little is known about consumer tastes for network breadth and how they affect plan select...
We recently discussed several limitations of Bayesian leave-one-out cross-validation (LOO) for model selection. Our contribution attracted three thought-provoking commentaries. In this rejoinder, we a...
Heart failure (HF) is a serious and challenging syndrome. Globally 26 million people are living with this chronic disease and the prevalence is still increasing. Besides this growing numbe...
The pharmacokinetics of tacrolimus (TAC) are characterized by high inter- and intra-individual variability with narrow therapeutic range. Currently, the limiting point of Tac drug monitori...
This is a phase Ib multi-center, open-label study: escalation part followed by expansion part. The primary purpose of the Phase Ib CBCL201X2102C study is to characterize the safety and tol...
This study aims to study the impact image guided radiotherapy with Cone beam CT will have on the outcomes(toxicities and response) of head and neck cancer when compared to 3D conformal rad...
Using a randomized clinical trial (RCT), this study is designed to assess the effectiveness of HIV risk-reduction interventions targeting injection drug users (IDUs) in three Ukraine oblas...
Radiotherapy given to augment some other form of treatment such as surgery or chemotherapy. Adjuvant radiotherapy is commonly used in the therapy of cancer and can be administered before or after the primary treatment.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
The total amount of radiation absorbed by tissues as a result of radiotherapy.
Theoretical models simulating behavior or activities in nursing, including nursing care, management and economics, theory, assessment, research, and education. Some examples of these models include Orem Self-Care Model, Roy Adaptation Model, and Rogers Life Process Model.
An examination, review and verification of all financial accounts.