ReviewInternational journal of general medicine2023
The Use of Chatbots in Oncological Care: A Narrative Review.
Review in International journal of general medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Virtual Health Assistants in Preventive Cancer Care Communication: Systematic Review.JMIR cancer · 2025Pooled it
- The Effectiveness and Feasibility of Conversational Agents in Supporting Care for Patients With Cancer: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Importance of Prior Patient Interactions With the Healthcare System to Engaging With Pretest Cancer Genetic Services via Digital Health Tools Among Unaffected Primary Care Patients: Findings From the BRIDGE Trial.Health services research · 2026Trial
- Uptake of Cancer Genetic Services for Chatbot vs Standard-of-Care Delivery Models: The BRIDGE Randomized Clinical Trial.JAMA network open · 2024Trial
- The Usability and Experience of Artificial Intelligence-Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review.Journal of clinical nursing · 2026Article
- Conversational AI in Hereditary Cancer Care: Sociotechnical Study of Responsible Design Requirements.JMIR human factors · 2026Article
- Multiturn Large Language Model-Based Conversational Agents for Patients With Cancer and Caregivers: Scoping Review.JMIR cancer · 2026Article
- Article
- Assessing the Accuracy and Readability of Generative Artificial Intelligence Responses for Esophageal and Gastric Cancer Patients.Journal of clinical medicine · 2026Article
- Effectiveness of artificial intelligence mobile app-guided prevention and treatment protocols on cancer patients and their impact on healthcare workers' competence.BMC medical informatics and decision making · 2026Article
- Digital patient decision aids for endometriosis management: a scoping review protocol.BMJ open · 2026Article
- AI outperforms humans in establishing interpersonal closeness in emotionally engaging interactions, but only when labelled as human.Communications psychology · 2026Article
- Interest in patient navigation chatbots: a cross-sectional survey study.Frontiers in digital health · 2026Article
- Scoping Review of Chatbot-Based Approaches to Cancer Patient Education.Nursing research and practice · 2026Review
- Applications of Chatbots in Improving Patient Care Outcomes:Sultan Qaboos University medical journal · 2026Article
- Article
- ChatGPT's role in the rapidly evolving hematologic cancer landscape.Future science OA · 2025Article
- Reducing Hallucinations and Trade-Offs in Responses in Generative AI Chatbots for Cancer Information: Development and Evaluation Study.JMIR cancer · 2025Article
- Integrating Artificial Intelligence Into Cancer Care: Enhancing Nursing Practice and Bridging Disparities.Clinical journal of oncology nursing · 2025Article
- AI Chatbots in Oncology: A Comparative Study of Sider Fusion AI and Perplexity AI for Gastric Cancer Patients.Indian journal of surgical oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Few reports have investigated chatbots in patient care. We aimed to assess the current applications, limitations, and challenges in the literature on chatbots employed in oncological care. Methods: We queried the PubMed database through April 2022 and included studies that investigated the use of chatbots in different phases of oncological care. The search used five different combinations of the specific terms "chatbot", "cancer", "oncology", and "conversational agent". Inclusion criteria were chatbot use in any aspect of oncological care-prevention, patient education, treatment, and surveillance. Results: The initial search yielded 196 records, 21 of which met inclusion criteria. The identified chatbots mostly focused on breast and ovarian cancer (n=8), with the second most common being cervical cancer (n=3). Good patient satisfaction was reported among 14 of 21 chatbots. The most reported chatbot applications were cancer screening, prevention, risk stratification, treatment, monitoring, and management. Of 12 studies examining efficacy of care via chatbot, 9 demonstrated improvements compared to standard care. Conclusion: Chatbots used for oncological care to date demonstrate high user satisfaction, and many have shown efficacy in improving patient-centered communication, accessibility to cancer-related information, and access to care. Currently, chatbots are primarily limited by the need for extensive user-testing and iterative improvement before widespread implementation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.