S1490
Interdisciplinary - Patient involvement
ESTRO 2026
This study systematically reviews evidence on AI-based chatbots in radiotherapy, focusing on their impact on communication, patient engagement, and workflow efficiency. Material/Methods: A systematic literature review was conducted in accordance with PRISMA guidelines. Three independent reviewers searched PubMed, Scopus, Web of Science, and the Cochrane Library using predefined Boolean search strings combining the keywords “artificial intelligence”, “radiotherapy” and “chatbot”. Inclusion criteria: studies published between 2015–2025, written in English, conducted on humans, and focused on AI/chatbots in oncology or radiotherapy. Exclusion criteria: non-human studies, no full text and non–peer-reviewed publications. Relevant studies were analysed to identify benefits, limitations, and emerging trends. Study quality was assessed using the Critical Appraisal Skills Programme (CASP) tool, and findings were synthesized descriptively. Results: Thirty-seven records were identified, with 23 meeting inclusion criteria after screening. Three main focus areas emerged: 66% addressed general AI and machine learning applications in radiotherapy and oncology, showing potential to improve decision- making and enhance workflow. Approximately 17% explored AI-based chatbots and virtual assistants, demonstrating benefits in patient education, accessibility of information, and understanding of the radiotherapy process. The above-mentioned 17% evaluated chatbot reliability and performance, highlighting their usefulness as supportive communication tools, while noting limitations in accuracy and the need for professional supervision. Overall, AI-driven systems—particularly chatbots— can enhance communication and service efficiency, although methodological variability and limited clinical validation remain challenging. Conclusion: AI, particularly through chatbot-based applications, is emerging as a valuable tool in radiotherapy to support patient communication and education. Evidence suggests chatbots improve clarity and accessibility of information, engagement, and workflow efficiency. However, reliability, clinical validation, and integration into routine practice remain limited. Further research and collaboration are essential to ensure safe and effective implementation of AI-driven communication tools, complementing professional care in radiotherapy Keywords: Radiotherapy, artificial intelligence, chatbot
Conclusion: This study identified eight DCIS-specific QoL issues warranting inclusion in future questionnaire development. These findings will inform subsequent steps in developing a preliminary module to assess QoL in patients with DCIS. Keywords: Ductal carcinoma in situ, EORTC, QoL
Digital Poster 5082
Enhancing Communication In Radiotherapy Through Ai Chatbots: A Systematic Literature Review Joana Monteiro 1 , Susana Gonçalves 2,3 , Luís Cunha 2,4 , Bruno Mendes 2,5 , Cristina Santos 6 , André Soares 6 , Pedro Dias 6 , Marisa Matos 7 , Barbara Barbosa 2 1 Escola Superior de Saúde, Instituto Politécnico do Porto, Porto, Portugal. 2 Medical Physics, Radiobiology and Radiation Protection Group, IPO Porto Research Center (CI-IPOP), Porto Comprehensive Cancer Center (Porto.CCC) & Rise@CI-IPOP (Health Research Network), Instituto Português de Oncologia do Porto Francisco Gentil, Porto, Portugal. 3 Escola Internacional de Doutoramento, Universidad de Vigo, Vigo, Spain. 4 Medical Physics Department, Instituto Português de Oncologia do Porto Francisco Gentil, Porto, Portugal. 5 Faculdade de Engenharia da Universidade do Porto, Universidade do Porto, Porto, Portugal. 6 Radiotherapy Department, Instituto Português de Oncologia do Porto Francisco Gentil, Porto, Portugal. 7 Nursing Radiotherapy Department, Instituto Português de Oncologia do Porto Francisco Gentil, Porto, Portugal Purpose/Objective: Effective communication between radiotherapy professionals and patients is crucial for treatment adherence and patient experience in radiotherapy, yet increasing workload and time constraints challenge the consistency of patient support and care quality. Artificial Intelligence (AI) chatbots offer innovative support for patient education and communication.
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