Exploring the role of ChatGPT in oncology: providing information and support for cancer patients
Open accessAbstract
Introduction: Oncological patients face numerous challenges throughout their cancer journey while navigating complex medical information. The advent of AI-based conversational models like ChatGPT (San Francisco, OpenAI) represents an innovation in oncological patient management. Methods: We conducted a comprehensive review of the literature on the use of ChatGPT in providing tailored information and support to patients with various types of cancer, including head and neck, liver, prostate, breast, lung, pancreas, colon, and cervical cancer. Results and Discussion: Our findings indicate that, in most instances, ChatGPT responses were accurate, dependable, and aligned with the expertise of oncology professionals, especially for certain subtypes of cancers like head and neck and prostate cancers. Furthermore, the system demonstrated a remarkable ability to comprehend patients’ emotional responses and offer proactive solutions and advice. Nevertheless, these models have also showed notable limitations and cannot serve as a substitute for the role of a physician under any circumstances. Conclusions: Conversational models like ChatGPT can significantly enhance the overall well-being and empowerment of oncological patients. Both patients and healthcare providers must become well-versed in the advantages and limitations of these emerging technologies.
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AI technologies provide timely, accurate, and accessible information that can empower patients and caregivers, supporting engagement, comprehension, and autonomy throughout the cancer care continuum.
“These technologies provide timely, accurate, and accessible information that can empower patients and caregivers, supporting engagement, comprehension, and autonomy throughout the cancer care continuum [6-8].”
From Empathic AI for Patient-Centered Cancer Care: A Scoping Review of Patient Navigation, Support, and Clinical Practice (2026) · cites this paper as [6]
Sections 3.1.2 and 3.1.3 describe ChatGPT as making information easier and faster to obtain and understand, including for patients and caregivers, with potential to improve participation and shared decision-making. The Conclusions say it can offer accurate, accessible support throughout patients’ cancer journey, but also warn that its information can be inaccurate or unreliable. The claim overstates accuracy as an unqualified property of AI technologies generally. (LLM, conf=0.82)
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Cites
AI bot ChatGPT writes smart essays — should professors worry?
Stokel-Walker, C. (2022) · Nature · doi:10.1038/d41586-022-04397-7 · Cited by 543 · see citing works
Ethical Considerations of Using ChatGPT in Health Care
Wang, C., Liu, S., Yang, H., Guo, J., Wu, Y., & Liu, J. (2023) · Journal of Medical Internet Research · doi:10.2196/48009 · Cited by 541 · see citing works
ChatGPT outperforms humans in emotional awareness evaluations
Elyoseph, Z., Hadar-Shoval, D., Asraf, K., & Lvovsky, M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1199058 · Cited by 324 · see citing works
ChatGPT: Evolution or revolution?
Gordijn, B., & Have, H. T. (2023) · Medicine, Health Care and Philosophy · doi:10.1007/s11019-023-10136-0 · Cited by 317 · see citing works
Joshi, G., Jain, A., Araveeti, S. R., Adhikari, S., Garg, H., & Bhandari, M. (2024) · Electronics · doi:10.3390/electronics13030498 · Cited by 294 · see citing works
Johnson, S. B., King, A. J., Warner, E. L., Aneja, S., Kann, B. H., & Bylund, C. L. (2023) · JNCI Cancer Spectrum · doi:10.1093/jncics/pkad015 · Cited by 289 · see citing works
Hopkins, A. M., Logan, J. M., Kichenadasse, G., & Sorich, M. J. (2023) · JNCI Cancer Spectrum · doi:10.1093/jncics/pkad010 · Cited by 259 · see citing works
Chow, J. C. L., Wong, V., Sanders, L., & Li, K. (2023) · Healthcare · doi:10.3390/healthcare11172417 · Cited by 60 · see citing works
Flagged first, then by citations
Research works printed but not linked: 36
- Pokorski, M., Ed.; Advances in Experimental Medicine and Biology; Springer International Publishing: Cham, Switzerland, 2019; Volume 1211, pp. 1-16. [CrossRef] · DOI
- Yeung, A.W.K.; Tosevska, A.; Klager, E.; Eibensteiner, F.; Tsagkaris, C.; Parvanov, E.D.; Nawaz, F.A.; Völkl-Kernstock, S.; Schaden, E.; Kletecka-Pulker, M.; et al. Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature. J. Med. Internet Res. 2022, 24, e28152. [CrossRef] [PubMed] · DOI
- Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report. Available online: https://pubmed.ncbi.nlm.nih.gov/34291289/ (accessed on 21 February 2024).
- Schäfer, W.L.A.; Van Den Berg, M.J.; Groenewegen, P.P. The Association between the Workload of General Practitioners and Patient Experiences with Care: Results of a Cross-Sectional Study in 33 Countries. Hum. Resour. Health 2020, 18, 76. [CrossRef] [PubMed] · DOI
- Dave, T.; Athaluri, S.A.; Singh, S. ChatGPT in Medicine: An Overview of Its Applications, Advantages, Limitations, Future Prospects, and Ethical Considerations. Front. Artif. Intell. 2023, 6, 1169595. [CrossRef] [PubMed] · DOI · Paper page
- Li, Y.; Gao, W.; Luan, Z.; Zhou, Z.; Li, J. The Impact of Chat Generative Pre-Trained Transformer (ChatGPT) on Oncology: Application, Expectations, and Future Prospects. Cureus 2023, 15, e48670. [CrossRef] [PubMed] · DOI · Paper page
- Chatterjee, J.; Dethlefs, N. This New Conversational AI Model Can Be Your Friend, Philosopher, and Guide . . . and Even Your Worst Enemy. Patterns 2023, 4, 100676. [CrossRef] [PubMed] · DOI · Paper page
- Hirosawa, T.; Harada, Y.; Yokose, M.; Sakamoto, T.; Kawamura, R.; Shimizu, T. Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study. Int. J. Environ. Res. Public Health 2023, 20, 3378. [CrossRef] [PubMed] · DOI
- Kung, T.H.; Cheatham, M.; Medenilla, A.; Sillos, C.; De Leon, L.; Elepaño, C.; Madriaga, M.; Aggabao, R.; Diaz-Candido, G.; Maningo, J.; et al. Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models. PLoS Digit. Health 2023, 2, e0000198. [CrossRef] · DOI · Paper page
- DeWalt, D.A.; Berkman, N.D.; Sheridan, S.; Lohr, K.N.; Pignone, M.P. Literacy and Health Outcomes: A Systematic Review of the Literature. J. Gen. Intern. Med. 2004, 19, 1228-1239. [CrossRef] [PubMed] · DOI · Paper page
- Budhathoki, S.S.; Pokharel, P.K.; Good, S.; Limbu, S.; Bhattachan, M.; Osborne, R.H. The Potential of Health Literacy to Address the Health Related UN Sustainable Development Goal 3 (SDG3) in Nepal: A Rapid Review. BMC Health Serv. Res. 2017, 17, 237. [CrossRef] [PubMed] · DOI
- Perrone, F.; Jommi, C.; Di Maio, M.; Gimigliano, A.; Gridelli, C.; Pignata, S.; Ciardiello, F.; Nuzzo, F.; De Matteis, A.; Del Mastro, L.; et al. The Association of Financial Difficulties with Clinical Outcomes in Cancer Patients: Secondary Analysis of 16 Academic Prospective Clinical Trials Conducted in Italy. Ann. Oncol. 2016, 27, 2224-2229. [CrossRef] · DOI
- Zhu, L.; Mou, W.; Chen, R. Can the ChatGPT and Other Large Language Models with Internet-Connected Database Solve the Questions and Concerns of Patient with Prostate Cancer and Help Democratize Medical Knowledge? J. Transl. Med. 2023, 21, 269. [CrossRef] [PubMed] · DOI
- Rao, A.; Kim, J.; Kamineni, M.; Pang, M.; Lie, W.; Succi, M.D. Evaluating ChatGPT as an Adjunct for Radiologic Decision-Making. MedRxiv 2023. preprint. [CrossRef] · DOI · Paper page
- Campbell, D.J.; Estephan, L.E. ChatGPT for Patient Education: An Evolving investigation. J. Clin. Sleep Med. 2023, 19, 2135-2136. [CrossRef] [PubMed] · DOI
- Ryan, H.; Schofield, P.; Cockburn, J.; Butow, P.; Tattersall, M.; Turner, J.; Girgis, A.; Bandaranayake, D.; Bowman, D. How to Recognize and Manage Psychological Distress in Cancer Patients. Eur. J. Cancer Care 2005, 14, 7-15. [CrossRef] [PubMed] · DOI
- Dekker, J.; Graves, K.D.; Badger, T.A.; Diefenbach, M.A. Management of Distress in Patients with Cancer-Are We Doing the Right Thing? Ann. Behav. Med. 2020, 54, 978-984. [CrossRef] [PubMed] · DOI
- Dolan, N.C.; Ferreira, M.R.; Davis, T.C.; Fitzgibbon, M.L.; Rademaker, A.; Liu, D.; Schmitt, B.P.; Gorby, N.; Wolf, M.; Bennett, C.L. Colorectal Cancer Screening Knowledge, Attitudes, and Beliefs Among Veterans: Does Literacy Make a Difference? J. Clin. Oncol. 2004, 22, 2617-2622. [CrossRef] [PubMed] · DOI
- Zheng, Y.; Wu, Y.; Feng, B.; Wang, L.; Kang, K.; Zhao, A. Enhancing Diabetes Self-Management and Education: A Critical Analysis of ChatGPT's Role. Ann. Biomed. Eng. 2023, 52, 741-744. [CrossRef] [PubMed] · DOI
- Yeo, Y.H.; Samaan, J.S.; Ng, W.H.; Ting, P.-S.; Trivedi, H.; Vipani, A.; Ayoub, W.; Yang, J.D.; Liran, O.; Spiegel, B.; et al. Assessing the Performance of ChatGPT in Answering Questions Regarding Cirrhosis and Hepatocellular Carcinoma. Clin. Mol. Hepatol. 2023, 29, 721-732. [CrossRef] [PubMed] · DOI
- Yapar, D.; Demir Avcı, Y.; Tokur Sonuvar, E.; Faruk E gerci, Ö.; Yapar, A. ChatGPT's Potential to Support Home Care for Patients in the Early Period after Orthopedic Interventions and Enhance Public Health. Jt. Dis. Relat. Surg. 2024, 35, 169-176. [CrossRef] [PubMed] · DOI
- Borkowski, A.A. Applications of ChatGPT and Large Language Models in Medicine and Health Care: Benefits and Pitfalls. Fed. Pract. 2023, 40, 170. [CrossRef] · DOI
- Tsang, R. Practical Applications of ChatGPT in Undergraduate Medical Education. J. Med. Educ. Curric. Dev. 2023, 10, 238212052311784. [CrossRef] [PubMed] · DOI
- Khan, R.A.; Jawaid, M.; Khan, A.R.; Sajjad, M. ChatGPT-Reshaping Medical Education and Clinical Management. Pak. J. Med. Sci. 2023, 39. [CrossRef] [PubMed] · DOI · Paper page
- Kitamura, F.C. ChatGPT Is Shaping the Future of Medical Writing But Still Requires Human Judgment. Radiology 2023, 307, e230171. [CrossRef] [PubMed] · DOI · Paper page
- Kuşcu, O.; Pamuk, A.E.; Sütay Süslü, N.; Hosal, S. Is ChatGPT Accurate and Reliable in Answering Questions Regarding Head and Neck Cancer? Front. Oncol. 2023, 13, 1256459. [CrossRef] · DOI
- Wei, K.; Fritz, C.; Rajasekaran, K. Answering Head and Neck Cancer Questions: An Assessment of ChatGPT Responses. Am. J. Otolaryngol. 2024, 45, 104085. [CrossRef] · DOI
- Shaw, J.; Patidar, K.R.; Reuter, B.; Hajezifar, N.; Dharel, N.; Wade, J.B.; Bajaj, J.S. Focused Education Increases Hepatocellular Cancer Screening in Patients with Cirrhosis Regardless of Functional Health Literacy. Dig. Dis. Sci. 2021, 66, 2603-2609. [CrossRef] [PubMed] · DOI
- Liu, H.Y.; Alessandri Bonetti, M.; De Lorenzi, F.; Gimbel, M.L.; Nguyen, V.T.; Egro, F.M. Consulting the Digital Doctor: Google Versus ChatGPT as Sources of Information on Breast Implant-Associated Anaplastic Large Cell Lymphoma and Breast Implant Illness. Aesthetic Plast. Surg. 2023, 48, 590-607. [CrossRef] [PubMed] · DOI
- Rahsepar, A.A.; Tavakoli, N.; Kim, G.H.J.; Hassani, C.; Abtin, F.; Bedayat, A. How AI Responds to Common Lung Cancer Questions: ChatGPT versus Google Bard. Radiology 2023, 307, e230922. [CrossRef] [PubMed] · DOI
- Emile, S.H.; Horesh, N.; Freund, M.; Pellino, G.; Oliveira, L.; Wignakumar, A.; Wexner, S.D. How Appropriate Are Answers of Online Chat-Based Artificial Intelligence (ChatGPT) to Common Questions on Colon Cancer? Surgery 2023, 174, 1273-1275. [CrossRef] [PubMed] · DOI
- Moazzam, Z.; Cloyd, J.; Lima, H.A.; Pawlik, T.M. Quality of ChatGPT Responses to Questions Related to Pancreatic Cancer and Its Surgical Care. Ann. Surg. Oncol. 2023, 30, 6284-6286. [CrossRef] [PubMed] · DOI
- Hermann, C.E.; Patel, J.M.; Boyd, L.; Growdon, W.B.; Aviki, E.; Stasenko, M. Let's Chat about Cervical Cancer: Assessing the Accuracy of ChatGPT Responses to Cervical Cancer Questions. Gynecol. Oncol. 2023, 179, 164-168. [CrossRef] [PubMed] · DOI
- Nedbal, C.; Naik, N.; Castellani, D.; Gauhar, V.; Geraghty, R.; Somani, B.K. ChatGPT in Urology Practice: Revolutionizing Efficiency and Patient Care with Generative Artificial Intelligence. Curr. Opin. Urol. 2024, 34, 98-104. [CrossRef] [PubMed] · DOI
- Dahmen, J.; Kayaalp, M.E.; Ollivier, M.; Pareek, A.; Hirschmann, M.T.; Karlsson, J.; Winkler, P.W. Artificial Intelligence Bot ChatGPT in Medical Research: The Potential Game Changer as a Double-Edged Sword. Knee Surg. Sports Traumatol. Arthrosc. 2023, 31, 1187-1189. [CrossRef] [PubMed] · DOI · Paper page
- Whiles, B.B.; Bird, V.G.; Canales, B.K.; DiBianco, J.M.; Terry, R.S. Caution! AI Bot Has Entered the Patient Chat: ChatGPT Has Limitations in Providing Accurate Urologic Healthcare Advice. Urology 2023, 180, 278-284. [CrossRef · DOI · Paper page
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Hao, Y., Qiu, Z., Holmes, J., Löckenhoff, C. E., Liu, W., Ghassemi, M., & Kalantari, S. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01824-7 · Cited by 67 · see citing works
Akdogan, O., Uyar, G. C., Yesilbas, E., Baskurt, K., Malkoc, N. A., Ozdemir, N., Yazici, O., Oksuzoglu, B., Uner, A., Ozet, A., et al. (2025) · European Journal of Cancer · doi:10.1016/j.ejca.2025.115408 · Cited by 45 · see citing works
Goel, I., Bhaskar, Y., Kumar, N., Singh, S., Amanullah, M., Dhar, R., & Karmakar, S. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1550407 · Cited by 31 · see citing works
White, B. M., Aitken, G. L., Zink, J. A., Kheirkhah Rahimabad, P., Kumsa, F. A., Hashtarkhani, S., Rashid, R., Kheirinejad, S., Girdwood, T., Brett, C. L., et al. (2026) · JMIR Cancer · doi:10.2196/82336 · Cited by 2 · see citing works
“These technologies provide timely, accurate, and accessible information that can empower patients and caregivers, supporting engagement, comprehension, and autonomy throughout the cancer care continuum [6-8].”
- Authors
- Cè, M., Chiarpenello, V., Bubba, A., Felisaz, P. F., Oliva, G., Irmici, G., & Cellina, M.
- Affiliations
- University of Milan (IT)
- ASST Fatebenefratelli Sacco (IT)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
- Venue
- BioMedInformatics
- Publisher
- MDPI AG
- Published
- 2024-03-25
- Volume
- 4
- Issue
- 2
- Pages
- 877-888
- ISSN
- 2673-7426 (ISSN-L)
- OpenAlex
- W4393160742
- Cited by
- 24
- References
- 8
- Citations by year
- 2026: 4 · 2025: 16 · 2024: 4
- FWCI
- 2.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BioMedInformatics (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Keywords
- ChatGPT, large language models, cancer patients, patient information, patient support, conversational AI, head and neck cancer, prostate cancer, breast cancer, lung cancer, colon cancer, cervical cancer, liver cancer, pancreatic cancer, emotional support, patient empowerment, AI limitations
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