This thesis developed a decision-support Bayesian network (BN) and complementary visualisation tool for image-guided radiotherapy (IGRT). These tools form the framework for a future decision-support system that will rapidly analyse cone beam computed tomography (CBCT) images and provide advice to clinicians whether to proceed with treatment delivery or if a pre-treatment intervention is required. Clinical experts completed an IGRT practice survey, which along with published and clinical data were used to develop the BN. The visualisation tool graphically summarises daily tumour and organ-at-risk variations routinely observed on CBCT images, which can result in incorrect targeting of the radiation fields
Image guidance is now an integral component of radiation therapy. It allows visualisation and veri...
In recent years Image-Guided Radiotherapy (IGRT) has experienced many technical advances. One of the...
Following the personaliied medicine paradigm, there is a growing interest in medical agents capable ...
Purpose: To describe a Bayesian network (BN) and complementary visualization tool that aim to suppor...
Purpose To describe a Bayesian network (BN) and complementary visualization tool that aim to support...
A decision-making framework for image-guided radiotherapy (IGRT) is being developed using a Bayesian...
Treatment decision-making in head and neck oncology is gaining complexity by the increasing evidence...
Introduction 3D Image Guided Radiotherapy (IGRT) using cone beam computer tomography has been imple...
A decision tool for radiographer-led image-guided radiotherapy (IGRT) using cone-beam CT (CBCT) for ...
The need for quantified knowledge and decision-support tools to handle complex radiation therapy (RT...
A Clinical Decision Support System (CDSS) is a concept which has advanced rapidly in health care o...
This paper reports on the use of an interactive decision support system to generate treatment plans ...
This dissertation deals with decision support in the context of clinical oncology. (Dynamic) Bayesia...
A paradigm shift from current population based medicine to personalized and participative medicine i...
PurposeArtificial intelligence applications in radiation oncology have been the focus of study in th...
Image guidance is now an integral component of radiation therapy. It allows visualisation and veri...
In recent years Image-Guided Radiotherapy (IGRT) has experienced many technical advances. One of the...
Following the personaliied medicine paradigm, there is a growing interest in medical agents capable ...
Purpose: To describe a Bayesian network (BN) and complementary visualization tool that aim to suppor...
Purpose To describe a Bayesian network (BN) and complementary visualization tool that aim to support...
A decision-making framework for image-guided radiotherapy (IGRT) is being developed using a Bayesian...
Treatment decision-making in head and neck oncology is gaining complexity by the increasing evidence...
Introduction 3D Image Guided Radiotherapy (IGRT) using cone beam computer tomography has been imple...
A decision tool for radiographer-led image-guided radiotherapy (IGRT) using cone-beam CT (CBCT) for ...
The need for quantified knowledge and decision-support tools to handle complex radiation therapy (RT...
A Clinical Decision Support System (CDSS) is a concept which has advanced rapidly in health care o...
This paper reports on the use of an interactive decision support system to generate treatment plans ...
This dissertation deals with decision support in the context of clinical oncology. (Dynamic) Bayesia...
A paradigm shift from current population based medicine to personalized and participative medicine i...
PurposeArtificial intelligence applications in radiation oncology have been the focus of study in th...
Image guidance is now an integral component of radiation therapy. It allows visualisation and veri...
In recent years Image-Guided Radiotherapy (IGRT) has experienced many technical advances. One of the...
Following the personaliied medicine paradigm, there is a growing interest in medical agents capable ...