Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research
With increasing computing power, artificial intelligence (AI) and machine learning (ML) have
prospered, which facilitate the analysis of large datasets, especially those found in critical …
prospered, which facilitate the analysis of large datasets, especially those found in critical …
Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical …
L Boldrini, A D'Aviero, F De Felice, I Desideri… - La radiologia …, 2024 - Springer
Introduction The advent of image-guided radiation therapy (IGRT) has recently changed the
workflow of radiation treatments by ensuring highly collimated treatments. Artificial …
workflow of radiation treatments by ensuring highly collimated treatments. Artificial …
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation
Adaptive radiotherapy (ART) is an advanced technology in modern cancer treatment that
incorporates progressive changes in patient anatomy into active plan/dose adaption during …
incorporates progressive changes in patient anatomy into active plan/dose adaption during …
Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapy
B Yang, Y Liu, R Wei, K Men, J Dai - Medical Physics, 2024 - Wiley Online Library
Background Patients may undergo anatomical changes during radiotherapy, leading to an
underdosing of the target or overdosing of the organs at risk (OARs). Purpose This study …
underdosing of the target or overdosing of the organs at risk (OARs). Purpose This study …
Adapt-On-Demand: A Novel Strategy for Personalized Adaptive Radiation Therapy for Locally Advanced Lung Cancer
Purpose Real-time adaptation of thoracic radiation plans is compelling because offline
adaptive experiences show that tumor volumes and lung anatomy can change during …
adaptive experiences show that tumor volumes and lung anatomy can change during …
[Retracted] Research on Improving Radiotherapy Accuracy Based on Image‐Guided Radiotherapy
S Huang, Y Xiao, H Li, D Li - Contrast Media & Molecular …, 2022 - Wiley Online Library
With the changes of people's diet and lifestyle, the number of patients with abdominal
malignant tumors is increasing year by year. In order to analyze the effectiveness of cone …
malignant tumors is increasing year by year. In order to analyze the effectiveness of cone …
[HTML][HTML] TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy
Background: Adaptive radiotherapy (ART) can compensate for the dosimetric impact of
anatomic change during radiotherapy of head neck cancer (HNC) patients. However …
anatomic change during radiotherapy of head neck cancer (HNC) patients. However …
CT-CBCT deformable registration using weakly-supervised artifact-suppression transfer learning network
D Tian, G Sun, H Zheng, S Yu… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. Computed tomography-cone-beam computed tomography (CT-CBCT)
deformable registration has great potential in adaptive radiotherapy. It plays an important …
deformable registration has great potential in adaptive radiotherapy. It plays an important …