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Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift
Open accessAbstract
On November 30, 2022, OpenAI enabled public access to ChatGPT, a next-generation artificial intelligence with a highly sophisticated ability to write, solve coding issues, and answer questions. This communication draws attention to the prospect that ChatGPT and its successors will become important virtual assistants to patients and health-care providers. In our assessments, ranging from answering basic fact-based questions to responding to complex clinical questions, ChatGPT demonstrated a remarkable ability to formulate interpretable responses, which appeared to minimize the likelihood of alarm compared with Google’s feature snippet. Arguably, the ChatGPT use case presents an urgent need for regulators and health-care professionals to be involved in developing standards for minimum quality and to raise patient awareness of current limitations of emerging artificial intelligence assistants. This commentary aims to raise awareness at the tipping point of a paradigm shift.
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“Similarly, ChatGPT exhibited an impressive ability to formulate interpretable responses that were easily understood when compared with Google's feature snippet [34].”
From A systematic literature review of empirical research on ChatGPT in education (2024) · cites this paper as [34]
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Rajpurkar, P., Chen, E., Banerjee, O., & Topol, E. J. (2022) · Nature Medicine · doi:10.1038/s41591-021-01614-0 · Cited by 3,212
AI bot ChatGPT writes smart essays — should professors worry?
Stokel-Walker, C. (2022) · Nature · doi:10.1038/d41586-022-04397-7 · Cited by 543
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Castelvecchi, D. (2022) · Nature · doi:10.1038/d41586-022-04383-z · Cited by 138
Flagged first, then by citations
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Items 101–200 of 257
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Xue, X., Zhang, D., Sun, C., Shi, Y., Wang, R., Tan, T., Gao, P., Fan, S., Zhai, G., Hu, M., et al. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108399 · Cited by 22
Park, K. U., Lipsitz, S. R., Dominici, L. S., Lynce, F. C., Minami, C. A., Nakhlis, F., Waks, A. G., Warren, L. E., Eidman, N., Frazier, J., et al. (2024) · Cancer · doi:10.1002/cncr.35521 · Cited by 15
Fangerau, H. (2024) · EFORT Open Reviews · doi:10.1530/eor-24-0029 · Cited by 15
Evolving Generative AI: Entangling the Accountability Relationship
Elliott, M. T. J., Deepak, P., & MacCárthaigh, M. (2024) · Digital Government Research and Practice · doi:10.1145/3664823 · Cited by 17
Chang, L., Sun, C., Chen, T.-H., Tsai, D., Lin, H., & Liao, L. (2024) · Digital Health · doi:10.1177/20552076241277021 · Cited by 14
Xie, Z. (2025) · Social Media + Society · doi:10.1177/20563051251323391 · Cited by 15
Role of chatbots on gastroenterology: Let's chat about the future
Li, L. (2023) · Gastroenterology & Endoscopy · doi:10.1016/j.gande.2023.06.002 · Cited by 15
Guillari, A., Sansone, V., Giordano, V., Catone, M., & Rea, T. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-081721 · Cited by 13
Huang, R. S., Benour, A., Kemppainen, J., & Leung, F. (2024) · BMC Medical Education · doi:10.1186/s12909-024-06115-5 · Cited by 17
Liao, C.-Y., Chu, C.-N., Lien, M.-Y., Wu, Y., & Wang, T. (2024) · Current Oncology · doi:10.3390/curroncol32010007 · Cited by 14
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Deik, A. (2023) · Journal of Movement Disorders · doi:10.14802/jmd.23072 · Cited by 13
Sridharan, K., & Sivaramakrishnan, G. (2025) · European Journal of Hospital Pharmacy · doi:10.1136/ejhpharm-2024-004245 · Cited by 15
Whittaker, P., & Sun, M. (2025) · Health Informatics Journal · doi:10.1177/14604582251388879 · Cited by 15
Anagnostopoulos, C. (2023) · F1000Research · doi:10.12688/f1000research.141958.1 · Cited by 17
Is ChatGPT a source to enhance firms’ strategic value and business sustainability?
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Knowledge is not all you need for comfort in use of AI in healthcare
Li, A., Rauf, I. A., & Keshavjee, K. (2024) · Public Health · doi:10.1016/j.puhe.2024.11.019 · Cited by 17
Chandler, R. D., Warner, S. C., Aidoo-Frimpong, G. A., & Wells, J. (2024) · Journal of the Association of Nurses in AIDS Care · doi:10.1097/jnc.0000000000000468 · Cited by 12
Mooney, K. H., Beck, S. L., Wilson, C., Coombs, L., Whisenant, M., Moraitis, A. M., Sloss, E. A., Alekhina, N., Lloyd, J. L. E., Steinbach, M. N., et al. (2024) · JCO Clinical Cancer Informatics · doi:10.1200/cci.23.00243 · Cited by 6
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Evaluating ChatGPT text mining of clinical records for companion animal obesity monitoring
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Shao, X., Ruan, T., Ju, X., Sun, Y., & Cui, J. (2025) · Digital Health · doi:10.1177/20552076251367645 · Cited by 11
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Qiu, Z., Jiang, A., Chang, Q., Gan, W., Zhu, L., Mou, W., Zeng, D., Xiao, M., Chu, G., Peng, S., et al. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-07227-2 · Cited by 12
Fitria, T. N. (2024) · Journal of Language Intelligence and Culture · doi:10.35719/jlic.v6i2.139 · Cited by 28
Oliveira, A. L., Coelho, M. M., Guedes, L. C., Cattoni, M. B., Carvalho, H., & Duarte-Batista, P. (2024) · Neurological Sciences · doi:10.1007/s10072-024-07732-0 · Cited by 11
Owens, O. L., & Leonard, M. (2025) · American Journal of Health Promotion · doi:10.1177/08901171251316371 · Cited by 10
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Boie, S. D., Glastetter, E., Lux, M. P., Balzer, F., Kalle, C. V., Lenz, C., & Müller, U. (2025) · JMIR Cancer · doi:10.2196/68426 · Cited by 13
Madsen, D. Ø., & Toston, D. M. (2025) · Digital · doi:10.3390/digital5030024 · Cited by 16
Mayta‐Tovalino, F., Espinoza‐Carhuancho, F., Alvítez-Temoche, D., Mauricio‐Vilchez, C., Munive-Degregori, A., & Barja–Ore, J. (2023) · Educación Médica · doi:10.1016/j.edumed.2023.100873 · Cited by 17
Yucel, K. B., Sütçüoğlu, O., Yazıcı, O., Özet, A., & Özdemir, N. (2024) · memo - Magazine of European Medical Oncology · doi:10.1007/s12254-023-00954-6 · Cited by 10
Botelho, F. M. N., Tshimula, J. M., & Poenaru, D. (2023) · World Journal of Surgery · doi:10.1007/s00268-023-07167-2 · Cited by 10
Ilić, J., Ivanović, M., & Klašnja-Milićević, A. (2024) · 2024 21st International Conference on Information Technology Based Higher Education and Training (ITHET) · doi:10.1109/ithet61869.2024.10837649 · Cited by 9
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Vindigni, G. (2023) · British journal of healthcare and medical research · doi:10.14738/bjhmr.104.15114 · Cited by 19
Yıldız, M. S., & Alper, A. (2023) · Journal of Consumer Health on the Internet · doi:10.1080/15398285.2023.2240652 · Cited by 9
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Ryoo, Y., Halfacre, V., Kim, E. A., & Yoon, H. J. (2025) · International Journal of Advertising · doi:10.1080/02650487.2025.2452048 · Cited by 9
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Li, Z., Yan, C., Cao, Y., Gong, A., Li, F., & Zeng, R. (2025) · Scientific Reports · doi:10.1038/s41598-025-04309-5 · Cited by 8
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Pathak, A. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4499278 · Cited by 8
Al-Khiami, M. I., & Jaeger, M. (2023) · doi:10.20944/preprints202307.0660.v1 · Cited by 6
Erdat, E. C., Köksoy, E. B., & Utkan, G. (2025) · Acta haematologica oncologica Turcica. · doi:10.4274/ahot.galenos.2024.2024-8-2 · Cited by 6
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Chisty, S. K., Miami, A. T., & Noor, J. (2024) · International Conference on Information and Communication Technologies and Development (ICTD) · doi:10.1145/3700794.3700803 · Cited by 6
Liu, H., Peng, J., Li, L., Deng, A., Huang, X., Yin, G., & Luo, H. (2025) · JMIR Medical Informatics · doi:10.2196/66429 · Cited by 6
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Boonrit, N., Chaisawat, K., Phueakong, C., Nootong, N., & Ruanglertboon, W. (2024) · Digital Health · doi:10.1177/20552076241283256 · Cited by 8
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Chow, J. C., Cheng, T.-Y., Chien, T., & Chou, W. (2023) · JMIR Formative Research · doi:10.2196/46800 · Cited by 6
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Christina, J., Ford, K., Menz, B., Sorich, M. J., Hopkins, A. M., Ramsey, I., Duddle, M., Kitson, A. A., & Paterson, C. C. (2025) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2025.152040 · Cited by 6
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Lukac, S., Griewing, S., Leinert, E., Dayan, D., Heitmeir, B., Wallwiener, M., Janni, W., Fink, V., & Ebner, F. K. (2024) · Clinics and Practice · doi:10.3390/clinpract15010008 · Cited by 5
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Kerkütlüoğlu, M., Kaya, E., & Gökmen, R. (2024) · Cureus · doi:10.7759/cureus.71472 · Cited by 3
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Bernstein, E., Ramsamooj, A., Millar, K. L., & Lum, Z. C. (2025) · JMIR AI · doi:10.2196/68603 · Cited by 3
Mola, S., Yıldırım, A., & Gül, E. B. (2025) · Reviews in Cardiovascular Medicine · doi:10.31083/rcm38705 · Cited by 3
Laily, A. N., Schwab‐Reese, L. M., Davish, M., Cahue, E., LaRoche, K. J., Rodriguez, N. M., Duncan, R. J., Hubach, R. D., & Kasting, M. L. (2025) · JMIR Public Health and Surveillance · doi:10.2196/79720 · Cited by 3
Ouyang, H., Lin, G., Li, Y., Yao, Z., Li, Y., Yan, H., Qin, F., Yao, J., & Chen, Y. (2026) · Journal of Medical Internet Research · doi:10.2196/73326 · Cited by 4
Lopes, N. V. D. A., Nonaka, C. F. W., Alves, P. M., & Cunha, J. L. S. (2023) · Journal of Stomatology Oral and Maxillofacial Surgery · doi:10.1016/j.jormas.2023.101703 · Cited by 3
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Lin, K.-C., Chen, T.-A., Lin, M.-H., Chen, Y., & Chen, T. (2024) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe14040057 · Cited by 3
Kovoor, J. G., Smallbone, H., Jenkins, A., Stretton, B., Santhosh, S., Jacobsen, J. H. W., Gupta, A. K., Zaka, A., Nann, S. D., Jiang, M., et al. (2024) · Internal Medicine Journal · doi:10.1111/imj.16518 · Cited by 3
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Graboyes, E. M., Harmon, G. E., & Brown, E. G. (2023) · JAMA Otolaryngology–Head & Neck Surgery · doi:10.1001/jamaoto.2023.2462 · Cited by 2
Tanaka, C., Kinoshita, T., Okada, Y., Satoh, K., Homma, Y., Suzuki, K., Yokobori, S., Oda, J., Otomo, Y., & Tagami, T. (2025) · Acute Medicine & Surgery · doi:10.1002/ams2.70042 · Cited by 2
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Demiroğlu, S. B. A., Bulut, Ö. Ö., & Bağcıer, F. (2025) · Journal of Bodywork and Movement Therapies · doi:10.1016/j.jbmt.2025.05.043 · Cited by 2
Chandler, R. D., Warner, S. C., Guillaume, D., & Wells, J. (2025) · Nursing Outlook · doi:10.1016/j.outlook.2025.102468 · Cited by 3
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Giguere, A. M. C., Auclair-Rochon, D., Robin, M., Augustine, L., Ayre, J., & McCaffery, K. J. (2025) · BMJ Evidence-Based Medicine · doi:10.1136/bmjebm-2025-113675 · Cited by 2
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Metadata
- Authors
- Hopkins, A. M., Logan, J. M., Kichenadasse, G., & Sorich, M. J.
- Affiliations
- Flinders University (AU)
- University of South Australia (AU)
- Corresponding author
- Hopkins, Ashley M
- Venue
- JNCI Cancer Spectrum
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-02-21
- Volume
- 7
- Issue
- 2
- ISSN
- 2515-5091 (ISSN-L)
- PMC
- PMC10013638
- OpenAlex
- W4321436564
- Cited by
- 259
- References
- 3
- Citations by year
- 2026: 19 · 2025: 58 · 2024: 100 · 2023: 81
- FWCI
- 10.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- JNCI Cancer Spectrum (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- UniSA Research Outputs Repository (University of South Australia) (submittedVersion, other-oa)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by-nc)
- Funders
- National Health and Medical Research Council (APP2008119)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- ChatGPT, large language models, AI chatbots, cancer patients, patient data access, virtual assistants, medical question answering, AI regulation
- MeSH terms
- Artificial Intelligence, Communication, Health Personnel, Humans, Neoplasms, Probability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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