Barriers and facilitators to clinical implementation of radiotherapy treatment planning automation: A survey study of medical dosimetrists-Reference-Cited by-同舟云学术

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Barriers and facilitators to clinical implementation of radiotherapy treatment planning automation: A survey study of medical dosimetrists

Published:2022-03-03 Issue:5 Volume:23 Page:
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Applied Clin Med Phys

Author:

Petragallo Rachel¹,Bardach Naomi²,Ramirez Ezequiel³,Lamb James M.¹

Affiliation:

1. Department of Radiation Oncology University of California Los Angeles California USA

2. Department of Pediatrics University of California San Francisco California USA

3. Department of Radiation Oncology University of California San Francisco California USA

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13568

Reference52 articles.

1. Experience-Based Quality Control of Clinical Intensity-Modulated Radiotherapy Planning

2. A planning quality evaluation tool for prostate adaptive IMRT based on machine learning

3. Auto‐segmentation of organs at risk for head and neck radiotherapy planning: From atlas‐based to deep learning methods

4. Advances in Auto-Segmentation

5. Automation in intensity modulated radiotherapy treatment planning—a review of recent innovations

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3. Clinical physicists’ perceptions of weekly chart checks and the potential role for automated image review assessed by structured interviews;Journal of Applied Clinical Medical Physics;2024-04-22

4. Large-scale dose evaluation of deep learning organ contours in head-and-neck radiotherapy by leveraging existing plans;Physics and Imaging in Radiation Oncology;2024-04

5. Human factors in the clinical implementation of deep learning‐based automated contouring of pelvic organs at risk for MRI‐guided radiotherapy;Medical Physics;2023-08-30

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