The impact of Chat Generative Pre-trained Transformer (ChatGPT) on oncology: application, expectations, and future prospects
Open accessAbstract
The integration of Chat Generative Pre-trained Transformer (ChatGPT) into the field of oncology has recently garnered significant attention, with potential implications for enhancing both research and clinical practice. This paper presents a comprehensive review of the evolving landscape of ChatGPT applications in oncology, emphasizing its contributions to diagnosis, treatment, research, and patient education. We examine its role in assisting medical professionals, researchers, and patients in understanding complex cancer-related data and making informed decisions. Ethical considerations and potential challenges associated with the implementation of ChatGPT in oncology are also discussed. This article highlights the promising role of ChatGPT as a valuable tool in the oncology domain and outlines future directions for research and application.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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 [7]
The Review’s “ChatGPT in cancer patient education” section describes the potential for accessible explanations that improve patients’ comprehension, and its discussion of treatment decisions says such information can support engagement. It does not establish the same benefits for caregivers or throughout the cancer care continuum. Its “Rigorous Fact-Checking” section also cautions that responses may be outdated or erroneous, so timely, accurate information cannot be assumed. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Ayers, J. W., Poliak, A., Dredze, M., Leas, E. C., Zhu, Z., Kelley, J. B., Faix, D. J., Goodman, A. M., Longhurst, C. A., Hogarth, M., et al. (2023) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2023.1838 · Cited by 2,613 · see citing works
Ray, P. P. (2023) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2023.04.003 · Cited by 2,463 · 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
Lecler, A., Duron, L., & Soyer, P. (2023) · Diagnostic and Interventional Imaging · doi:10.1016/j.diii.2023.02.003 · Cited by 385 · cited 2× · see citing works
“ChatGPT's influence extends beyond the realm of health sciences, impacting specialized medical fields like radiology, pathology, and genomics, by simplifying complex medical terminology and facilitating effective communication with patients [6-9].”
BackgroundAnalysis of large-language model versus human performance for genetics questions
Duong, D., & Solomon, B. D. (2023) · doi:10.1101/2023.01.27.23285115 · Cited by 159 · cited 2× · see citing works
“This facilitates the selection of targeted therapies and helps patients and healthcare providers make informed decisions about treatment options [8,19].”
BackgroundAnalysis of large-language model versus human performance for genetics questions
Duong, D., & Solomon, B. D. (2024) · European Journal of Human Genetics · doi:10.1038/s41431-023-01396-8 · Cited by 159 · see citing works
Using ChatGPT in Medical Research: Current Status and Future Directions
Ruksakulpiwat, S., Kumar, A., & Ajibade, A. (2023) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s413470 · Cited by 156 · see citing works
ChatGPT, An Artificial Intelligence Chatbot, Is Impacting Medical Literature
Lubowitz, J. H. (2023) · Arthroscopy · doi:10.1016/j.arthro.2023.01.015 · Cited by 132 · see citing works
Lukac, S., Dayan, D., Fink, V., Leinert, E., Hartkopf, A., Veselinovic, K., Janni, W., Rack, B., Pfister, K., Heitmeir, B., et al. (2023) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-023-07130-5 · Cited by 130 · cited 1× · see citing works
“By analyzing mammograms, ChatGPT can identify suspicious regions and offer insights to radiologists, potentially enhancing early diagnosis rates [12,20,21].”
Background
Flagged first, then by citations
Research works printed but not linked: 28
- [2]What ChatGPT and generative AI mean for science Nature Stokel-Walker C Van Noorden R 214 216 614 2023 36747115
- [3]Large language models in medicine Nat Med Thirunavukarasu AJ Ting DS Elangovan K Gutierrez L Tan TF Ting DS 1930 1940 29 2023 37460753
- [4]Does ChatGPT help us understand the medical literature? J Am Soc Nephrol Lemley KV 2023 PMC10843220 37731175
- [7]Improving radiology workflow using ChatGPT and artificial intelligence Clin Imaging Mese I Taslicay CA Sivrioglu AK 109993 103 2023 37812965
- [8]Is artificial intelligence getting too much credit in medical genetics? Am J Med Genet C Semin Med Genet Alkuraya IF 0 193 2023 37606000
- [10]Cancer statistics, 2023 CA Cancer J Clin Siegel RL Miller KD Wagle NS Jemal A 17 48 73 2023 36633525
- [11]How appropriate are answers of online chat-based artificial intelligence (ChatGPT) to common questions on colon cancer? Surgery Emile SH Horesh N Freund M Pellino G Oliveira L Wignakumar A Wexner SD 1273 1275 174 2023 37482439
- [13]ChatGPT-A promising generative AI tool and its implications for cancer care Cancer Uprety D Zhu D West HJ 2284 2289 129 2023 37183438
- [14]ChatGPT for patient education: an evolving investigation J Clin Sleep Med Campbell DJ Estephan LE 2023 PMC10692945 37677075
- [16]ChatGPT, Bard, and large language models for biomedical research: opportunities and pitfalls Ann Biomed Eng Thapa S Adhikari S 2023 37328703
- [17]Accuracy of information provided by ChatGPT regarding liver cancer surveillance and diagnosis AJR Am J Roentgenol Cao JJ Kwon DH Ghaziani TT 556 559 221 2023 37222278
- [18]Deep learning in cancer diagnosis, prognosis and treatment selection Genome Med Tran KA Kondrashova O Bradley A Williams ED Pearson JV Waddell N 152 13 2021 34579788 PMC8477474
- [20]Appropriateness of breast cancer prevention and screening recommendations provided by ChatGPT Radiology Haver HL Ambinder EB Bahl M Oluyemi ET Jeudy J Yi PH 0 307 2023 37014239
- [21]Current and future use of artificial intelligence in electrocardiography J Cardiovasc Dev Dis Martínez-Sellés M Marina-Breysse M 10 2023 PMC10145690 37103054
- [22]Application of ChatGPT in routine diagnostic pathology: promises, pitfalls, and potential future directions Adv Anat Pathol Schukow C Smith SC Landgrebe E Parasuraman S Folaranmi OO Paner GP Amin MB 2023 37501529
- [23]A precision medicine approach to personalized prescribing using genetic and nongenetic factors for clinical decision-making Comput Biol Med Jamrat S Sukasem C Sratthaphut L Hongkaew Y Samanchuen T 107329 165 2023 37611418
- [24]Why ChatGPT means communication ethics problems for Bioethics Am J Bioeth Barnhart AJ Barnhart JE Dierickx K 80 82 23 2023 37812099
- [26]ChatGPT, obstructive sleep apnea and patient education: correspondence J Clin Sleep Med Kleebayoon A Wiwanitkit V 2023 PMC10692939 37551829
- [27]Assessing the potential of ChatGPT for patient education in cardiac catheterization care JACC Cardiovasc Interv Krittanawong C Virk HU Kaplin SL Wang Z Sharma S Jneid H 1551 1552 16 2023 37380244
- [28]Retrieve, summarize, and verify: how will ChatGPT affect information seeking from the medical literature? J Am Soc Nephrol Jin Q Leaman R Lu Z 1302 1304 34 2023 37254254 PMC10400098
- [29]ChatGPT and the future of journal reviews: a feasibility study Yale J Biol Med Biswas S Dobaria D Cohen HL 415 420 96 2023 37780993 PMC10524821
- [30]ChatGPT in medicine; a disruptive innovation or just one step forward? Arch Bone Jt Surg Parsa A Ebrahimzadeh MH 225 226 11 2023 37180295 PMC10167532
- [31]Health care trainees’ and professionals’ perceptions of ChatGPT in improving medical knowledge training: rapid survey study J Med Internet Res Hu JM Liu FC Chu CM Chang YT 0 25 2023 PMC10620632 37851495
- [32]AI language models in human reproduction research: exploring ChatGPT's potential to assist academic writing Hum Reprod Semrl N Feigl S Taumberger N Bracic T Fluhr H Blockeel C Kollmann M 2023 37833847
- [33]Comparing meta-analyses with ChatGPT in the evaluation of the effectiveness and tolerance of systemic therapies in moderate-to-severe plaque psoriasis J Clin Med Lam Hoai XL Simonart T 12 2023 PMC10455399 37629452
- [34]Artificial intelligence enabled ChatGPT and large language models in drug target discovery, drug discovery, and development Mol Ther Nucleic Acids Chakraborty C Bhattacharya M Lee SS 866 868 33 2023 37680991 PMC10481150
- [35]Drug discovery companies are customizing ChatGPT: here's how Nat Biotechnol Savage N 585 586 41 2023 37095351
- [36]ChatGPT in anaesthesia research: risk of fabrication in literature searches Br J Anaesth Grigio TR Timmerman H Wolff AP 0 30 131 2023 37183102
Cited by
Sorted by citations
Fairness in AI-driven oncology: investigating racial and gender biases in large language models
Agrawal, A. (2024) · Cureus · doi:10.7759/cureus.69541 · Cited by 10 · 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
- Authors
- Li, Y., Gao, W., Luan, Z., Zhou, Z., & Li, J.
- Affiliations
- Xi'an Jiaotong University (CN)
- Changzhi Medical College (CN)
- Corresponding author
- Li, Jianjun
- Venue
- Cureus
- Published
- 2023-11-11
- Volume
- 15
- Issue
- 11
- Pages
- e48670-e48670
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC10714025
- OpenAlex
- W4388613519
- Cited by
- 11
- References
- 9
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 8
- FWCI
- 0.13
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Keywords
- ChatGPT, large language models, oncology, cancer diagnosis, cancer therapy, cancer research, patient education, clinical decision support, ethics of AI in healthcare, artificial intelligence in healthcare
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 ›
Are you an author, or do you see a problem with this page? Request a review