Artificial intelligence in radiotherapy
G Li, X Wu, X Ma - Seminars in Cancer Biology, 2022 - Elsevier
Radiotherapy is a discipline closely integrated with computer science. Artificial intelligence
(AI) has developed rapidly over the past few years. With the explosive growth of medical big …
(AI) has developed rapidly over the past few years. With the explosive growth of medical big …
Review and recommendations on deformable image registration uncertainties for radiotherapy applications
Deformable image registration (DIR) is a versatile tool used in many applications in
radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment …
radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment …
[HTML][HTML] Automatic head and neck tumor segmentation and outcome prediction relying on FDG-PET/CT images: findings from the second edition of the HECKTOR …
V Andrearczyk, V Oreiller, S Boughdad… - Medical Image …, 2023 - Elsevier
By focusing on metabolic and morphological tissue properties respectively,
FluoroDeoxyGlucose (FDG)-Positron Emission Tomography (PET) and Computed …
FluoroDeoxyGlucose (FDG)-Positron Emission Tomography (PET) and Computed …
[HTML][HTML] A review of the metrics used to assess auto-contouring systems in radiotherapy
Auto-contouring could revolutionise future planning of radiotherapy treatment. The lack of
consensus on how to assess and validate auto-contouring systems currently limits clinical …
consensus on how to assess and validate auto-contouring systems currently limits clinical …
Addressing the global expertise gap in radiation oncology: the radiation planning assistant
L Court, A Aggarwal, H Burger, C Cardenas… - JCO Global …, 2023 - ascopubs.org
PURPOSE Automation, including the use of artificial intelligence, has been identified as a
possible opportunity to help reduce the gap in access and quality for radiotherapy and other …
possible opportunity to help reduce the gap in access and quality for radiotherapy and other …
[HTML][HTML] Artificial intelligence for radiotherapy auto-contouring: Current use, perceptions of and barriers to implementation
Aims Artificial intelligence has the potential to transform the radiotherapy workflow, resulting
in improved quality, safety, accuracy and timeliness of radiotherapy delivery. Several …
in improved quality, safety, accuracy and timeliness of radiotherapy delivery. Several …
Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites
Clinician generated segmentation of tumor and healthy tissue regions of interest (ROIs) on
medical images is crucial for radiotherapy. However, interobserver segmentation variability …
medical images is crucial for radiotherapy. However, interobserver segmentation variability …
The role of artificial intelligence in radiotherapy clinical practice
This review article visits the current state of artificial intelligence (AI) in radiotherapy clinical
practice. We will discuss how AI has a place in the modern radiotherapy workflow at the …
practice. We will discuss how AI has a place in the modern radiotherapy workflow at the …
A benchmark study of convolutional neural networks in fully automatic segmentation of aortic root
Recent clinical studies have suggested that introducing 3D patient-specific aortic root
models into the pre-operative assessment procedure of transcatheter aortic valve …
models into the pre-operative assessment procedure of transcatheter aortic valve …
Auto-segmentation for total marrow irradiation
WT Watkins, K Qing, C Han, S Hui, A Liu - Frontiers in Oncology, 2022 - frontiersin.org
Purpose To evaluate the accuracy and efficiency of Artificial-Intelligence (AI) segmentation
in Total Marrow Irradiation (TMI) including contours throughout the head and neck (H&N) …
in Total Marrow Irradiation (TMI) including contours throughout the head and neck (H&N) …