Artificial intelligence in radiation oncology
Artificial intelligence (AI) has the potential to fundamentally alter the way medicine is
practised. AI platforms excel in recognizing complex patterns in medical data and provide a …
practised. AI platforms excel in recognizing complex patterns in medical data and provide a …
Spatial descriptions of radiotherapy dose: normal tissue complication models and statistical associations
For decades, dose-volume information for segmented anatomy has provided the essential
data for correlating radiotherapy dosimetry with treatment-induced complications. Dose …
data for correlating radiotherapy dosimetry with treatment-induced complications. Dose …
[HTML][HTML] Clinical evaluation of deep learning and atlas-based auto-contouring of bladder and rectum for prostate radiation therapy
WJ Zabel, JL Conway, A Gladwish, J Skliarenko… - Practical Radiation …, 2021 - Elsevier
Purpose Auto-contouring may reduce workload, interobserver variation, and time associated
with manual contouring of organs at risk. Manual contouring remains the standard due in …
with manual contouring of organs at risk. Manual contouring remains the standard due in …
NCCN Guidelines® insights: Hodgkin lymphoma, version 2.2022: Featured updates to the NCCN Guidelines
Hodgkin lymphoma (HL) is an uncommon malignancy of B-cell origin. Classical HL (cHL)
and nodular lymphocyte–predominant HL are the 2 main types of HL. The cure rates for HL …
and nodular lymphocyte–predominant HL are the 2 main types of HL. The cure rates for HL …
[HTML][HTML] Organ at risk delineation for radiation therapy clinical trials: Global Harmonization Group consensus guidelines
Abstract Background and purpose The Global Quality Assurance of Radiation Therapy
Clinical Trials Harmonization Group (GHG) is a collaborative group of Radiation Therapy …
Clinical Trials Harmonization Group (GHG) is a collaborative group of Radiation Therapy …
Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy
Purpose To study the performance of a proposed deep learning-based autocontouring
system in delineating organs at risk (OARs) in breast radiotherapy with a group of experts …
system in delineating organs at risk (OARs) in breast radiotherapy with a group of experts …
General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis
Purpose To reduce workload and inconsistencies in organ segmentation for radiation
treatment planning, we developed and evaluated general and custom autosegmentation …
treatment planning, we developed and evaluated general and custom autosegmentation …
Medical Physics Practice Guideline (MPPG) 11. a: Plan and chart review in external beam radiotherapy and brachytherapy
A therapeutic medical physicist is responsible for reviewing radiation therapy treatment
plans and patient charts, including initial treatment plans and new chart review, on treatment …
plans and patient charts, including initial treatment plans and new chart review, on treatment …
NRG oncology assessment of artificial intelligence deep learning–based auto-segmentation for radiation therapy: current developments, clinical considerations, and …
Deep learning neural networks (DLNN) in Artificial intelligence (AI) have been extensively
explored for automatic segmentation in radiotherapy (RT). In contrast to traditional model …
explored for automatic segmentation in radiotherapy (RT). In contrast to traditional model …
A systematic review of contouring guidelines in radiation oncology: Analysis of frequency, methodology, and delivery of consensus recommendations
Purpose Clinical trials have described variation in radiation therapy plan quality, of which
contour delineation is a key component, and linked this to inferior patient outcomes. In …
contour delineation is a key component, and linked this to inferior patient outcomes. In …