Cited by 11Artificial Intelligence in Healthcare and EducationArtificial Intelligence ApplicationsAI in cancer detection

The impact of Chat Generative Pre-trained Transformer (ChatGPT) on oncology: application, expectations, and future prospects

Open access
Li, Yanxing, Gao, Wentao, Luan, Zhenhua, Zhou, Zhi, Li, Jianjun·2023·Cureus

Abstract

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.

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Crossref · 10.7759/cureus.48670

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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 [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 Its “Rigorous Fact-Checking” section also cautions that responses may be outdated or erroneous, so timely, accurate information cannot be assumed.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

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Research works printed but not linked: 28

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Cited by

Sorted by citations

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)
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
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

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