Your browser doesn't support javascript.
loading
Artificial Intelligence and Deep Learning for Brachytherapy.
Jia, Xun; Albuquerque, Kevin.
Affiliation
  • Jia X; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX.
  • Albuquerque K; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX. Electronic address: kevin.albuquerque@UTSouthwestern.edu.
Semin Radiat Oncol ; 32(4): 389-399, 2022 10.
Article in En | MEDLINE | ID: mdl-36202441
In recent years, Artificial intelligence (AI), specifically deep-learning (DL) based methods, have been employed extensively to solve various problems in brachytherapy. This paper presents a comprehensive literature review on recent developments and applications of AI/DL technologies for different areas in brachytherapy, including image enhancement, registration, segmentation, treatment planning, quality assurance, outcome prediction, etc. The review will emphasize studies addressing unique challenges in brachytherapy, as compared to external beam radiotherapy. Meanwhile, despite exciting achievements, it is also noted that we are still at the early stage of employing AI/DL-technologies to enhance brachytherapy clinical practice. Hence, this paper will also present challenges and future directions. We hope this review will inspire discussions on this topic and trigger future impactful studies to transform technology advancements into healthcare benefits.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brachytherapy / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Semin Radiat Oncol Journal subject: NEOPLASIAS / RADIOLOGIA Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brachytherapy / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Semin Radiat Oncol Journal subject: NEOPLASIAS / RADIOLOGIA Year: 2022 Document type: Article Country of publication: