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ChatGPT Answers Common Patient Questions About Colonoscopy
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ChatGPT (OpenAI) is a 175 billion–parameter large language model (LLM) artificial intelligence (AI) that was released in November 2022. ChatGPT is developed based on the generative pretrained transformer (GPT) 3.5 natural language processing technology and provides a conversational text response to a given prompt.1
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“LLMMs have achieved significant advancements in various application scenarios, the implementation of LLMMs provides critical insights for various parties within healthcare providers and patients.”
From Large language models in medical and healthcare fields: applications, advances, and challenges (2024) · cites this paper as Lee et al. 2023
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Advancing Healthcare with Large Language Models: Techniques and Application
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Metadata
- Authors
- Lee, T.-C., Staller, K., Botoman, V., Pathipati, M. P., Varma, S., & Kuo, B.
- Affiliations
- Taipei Medical University-Shuang Ho Hospital (TW)
- Harvard University (US)
- Corresponding author
- Kuo, Braden
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 165
- Issue
- 2
- Pages
- 509-511.e7
- ISSN
- 0016-5085 (ISSN-L)
- OpenAlex
- W4372231834
- Cited by
- 146
- References
- 9
- Citations by year
- 2026: 12 · 2025: 40 · 2024: 63 · 2023: 31
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Gastroenterology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (K23 DK120945)
- Foundation for the National Institutes of Health
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Keywords
- ChatGPT, large language models, colonoscopy, patient education, artificial intelligence, natural language processing, conversational AI
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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