ChatGPT’s Performance in Spinal Metastasis Cases—Can We Discuss Our Complex Cases with ChatGPT? Article Swipe
YOU?
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· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/jcm13247864
Background: The integration of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT-4, is transforming healthcare. ChatGPT’s potential to assist in decision-making for complex cases, such as spinal metastasis treatment, is promising but widely untested. Especially in cancer patients who develop spinal metastases, precise and personalized treatment is essential. This study examines ChatGPT-4’s performance in treatment planning for spinal metastasis cases compared to experienced spine surgeons. Materials and Methods: Five spine metastasis cases were randomly selected from recent literature. Consequently, five spine surgeons and ChatGPT-4 were tasked with providing treatment recommendations for each case in a standardized manner. Responses were analyzed for frequency distribution, agreement, and subjective rater opinions. Results: ChatGPT’s treatment recommendations aligned with the majority of human raters in 73% of treatment choices, with moderate to substantial agreement on systemic therapy, pain management, and supportive care. However, ChatGPT’s recommendations tended towards generalized statements, with raters noting its generalized answers. Agreement among raters improved in sensitivity analyses excluding ChatGPT, particularly for controversial areas like surgical intervention and palliative care. Conclusions: ChatGPT shows potential in aligning with experienced surgeons on certain treatment aspects of spinal metastasis. However, its generalized approach highlights limitations, suggesting that training with specific clinical guidelines could potentially enhance its utility in complex case management. Further studies are necessary to refine AI applications in personalized healthcare decision-making.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jcm13247864
- https://www.mdpi.com/2077-0383/13/24/7864/pdf?version=1734965872
- OA Status
- gold
- Cited By
- 4
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405720563
Raw OpenAlex JSON
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https://openalex.org/W4405720563Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/jcm13247864Digital Object Identifier
- Title
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ChatGPT’s Performance in Spinal Metastasis Cases—Can We Discuss Our Complex Cases with ChatGPT?Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-12-23Full publication date if available
- Authors
-
Stephan Heisinger, Stephan N. Salzmann, Wolfgang Senker, Stefan Aspalter, Johannes Oberndorfer, Michael Matzner, Martin N. Stienen, Stefan Motov, Dominikus Huber, Josef G. GrohsList of authors in order
- Landing page
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https://doi.org/10.3390/jcm13247864Publisher landing page
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https://www.mdpi.com/2077-0383/13/24/7864/pdf?version=1734965872Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2077-0383/13/24/7864/pdf?version=1734965872Direct OA link when available
- Concepts
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Medicine, Metastasis, Intervention (counseling), Palliative care, Health care, Radiation treatment planning, Cancer metastasis, Intensive care medicine, Spinal surgery, Physical therapy, Cancer, Radiation therapy, Surgery, Nursing, Internal medicine, Economics, Economic growthTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 4Per-year citation counts (last 5 years)
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60Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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