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@ARTICLE{Konnerth:304593,
      author       = {D. Konnerth and A. Altay-Langguth and D.-C. Dehelean and S.
                      H. Maier and M. Pazos and P. Rogowski and S. Schönecker and
                      C. Eze and S. Corradini and C. Belka and S. N.
                      Marschner$^*$},
      title        = {{CHAT}-{RT} study: {C}hat{GPT} in radiation oncology-a
                      survey on usage, perception, and impact among {DEGRO}
                      members.},
      journal      = {Radiation oncology},
      volume       = {20},
      number       = {1},
      issn         = {1748-717X},
      address      = {London},
      publisher    = {BioMed Central},
      reportid     = {DKFZ-2025-01916},
      pages        = {140},
      year         = {2025},
      abstract     = {Radiation oncology is increasingly turning to Artificial
                      Intelligence (AI) - and in particular Chat Generative
                      pre-trained transformer (ChatGPT) - for decision support,
                      patient education, and workflow efficiency. Despite
                      promising gains, questions about accuracy, General Data
                      Protection Regulation (GDPR)-compliance and ethical use
                      persist, especially in high-stakes cancer care. To clarify
                      real-world attitudes and practices, we surveyed members of
                      the German Society of Radiation Oncology (DEGRO) on their
                      use, perceptions, and concerns regarding ChatGPT across
                      clinical, research, communication, and administrative
                      tasks.An anonymous online survey was implemented via
                      LimeSurvey platform and distributed to all members of the
                      DEGRO in Germany, Austria, and Switzerland between April and
                      June 2024. The 40-item questionnaire-covering demographics,
                      radiotherapy experience, and ChatGPT's clinical, research,
                      communication, and administrative applications-was developed
                      through a narrative literature review, ChatGPT-assisted
                      drafting, back-translation, expert validation, and pilot
                      testing. Fully completed responses were used for descriptive
                      statistics and analysis.Of 213 respondents, 159 fully
                      completed the survey. Participants were predominantly based
                      in Germany $(92.5\%),$ worked in university hospitals
                      $(74.2\%),$ and identified as radiation oncologists
                      $(54.7\%),$ with a broad range of radiotherapy experience (<
                      1 year: $7.5\%;$ >15 years: $24.5\%).$ Awareness of ChatGPT
                      was high $(94.9\%),$ yet actual use varied: $32.1\%$ never
                      used it, while $35.2\%$ employed it regularly for
                      administrative tasks and $30.2\%$ for manuscript drafting.
                      Mid-career clinicians (6-10 years' experience) showed the
                      greatest $enthusiasm-44\%$ agreed it saves time and $72\%$
                      planned further integration-though all career stages
                      $(71.7\%$ overall) expressed strong interest in formal
                      training. Satisfaction was highest for administrative
                      $(94.6\%)$ and manuscript support $(91.7\%)$ but lower for
                      technical queries $(66.7\%).$ Major concerns included
                      misinformation $(69.2\%),$ erosion of critical thinking
                      $(57.9\%),$ and data-privacy risks $(57.2\%).Our$ survey
                      demonstrates high awareness and adoption of ChatGPT for
                      administrative and educational tasks, alongside more
                      cautious use in clinical decision-making. Widespread
                      concerns about misinformation, critical-thinking erosion,
                      and data privacy-especially among early- and mid-career
                      clinicians-underscore the need for targeted AI training,
                      rigorous validation, and transparent governance to ensure
                      safe, effective integration into patient care.},
      keywords     = {CHAT-GPT (Other) / DEGRO (Other) / LLM (Other) /
                      Questionnaire (Other) / Radiation oncology (Other)},
      cin          = {MU01},
      ddc          = {610},
      cid          = {I:(DE-He78)MU01-20160331},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40954471},
      doi          = {10.1186/s13014-025-02721-9},
      url          = {https://inrepo02.dkfz.de/record/304593},
}