Learning reimagined: AI's role in advancing education of cancer research and treatment technology Editorial


Authors: Chan, M. F.; Wang, D.
Title: Learning reimagined: AI's role in advancing education of cancer research and treatment technology
Abstract: <p>Visual learning, through graphics, diagrams, and other visual tools, has been shown to significantly enhance information retention, with studies indicating that up to 83% of learning is visual. In the field of radiation oncology, where continuous education is critical to the safe and effective treatment of cancer, the complexity and text-heavy nature of traditional resources can pose barriers to effective learning. This editorial examines the transformative potential of generative artificial intelligence (AI) in supporting cancer care professionals by enhancing comprehension of radiation oncology documents through tailored, visual learning modules. Using the AAPM TG-100 report "Application of risk analysis methods to radiation therapy quality management" as a proof of concept, the authors first developed web-based infographics manually and then demonstrated how AI tools such as ChatGPT, ClickUp, and NotebookLM dramatically expedite the process. These tools not only automate the creation of high-quality visuals but also support personalized and multimodal learning, including AI-generated podcasts for auditory learners. By making complex oncology-specific content more accessible, AI empowers radiation oncology clinicians and trainees to better understand, implement, and innovate in cancer treatment.</p>
Keywords: artificial intelligence; medical physics education; infographic learning; radiation oncology education; aapm tg reports
Journal Title: Technology in Cancer Research & Treatment
Volume: 24
ISSN: 1533-0346
Publisher: Sage Publications, Inc.  
Publication status: Published
Date Published: 2025-01-01
Online Publication Date: 2025-09-16
Start Page: 15330338251378314
Language: English
ACCESSION: WOS:001573763500001
DOI: 10.1177/15330338251378314
PROVIDER: wos
PMCID: PMC12441274
PUBMED: 40956929
Notes: Editorial Material -- Source: Wos
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  1. Maria F Chan
    193 Chan
  2. Dongxu Wang
    32 Wang