Large language models: a primer and gastroenterology applications

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dc.contributor.authorShahab, Omeren
dc.contributor.authorEl Kurdi, Baraen
dc.contributor.authorShaukat, Aasmaen
dc.contributor.authorNadkarni, Girishen
dc.contributor.authorSoroush, Alien
dc.date.accessioned2025-02-27T19:44:18Zen
dc.date.available2025-02-27T19:44:18Zen
dc.date.issued2024-02-22en
dc.description.abstractOver the past year, the emergence of state-of-the-art large language models (LLMs) in tools like ChatGPT has ushered in a rapid acceleration in artificial intelligence (AI) innovation. These powerful AI models can generate tailored and high-quality text responses to instructions and questions without the need for labor-intensive task-specific training data or complex software engineering. As the technology continues to mature, LLMs hold immense potential for transforming clinical workflows, enhancing patient outcomes, improving medical education, and optimizing medical research. In this review, we provide a practical discussion of LLMs, tailored to gastroenterologists. We highlight the technical foundations of LLMs, emphasizing their key strengths and limitations as well as how to interact with them safely and effectively. We discuss some potential LLM use cases for clinical gastroenterology practice, education, and research. Finally, we review critical barriers to implementation and ongoing work to address these issues. This review aims to equip gastroenterologists with a foundational understanding of LLMs to facilitate a more active clinician role in the development and implementation of this rapidly emerging technology.en
dc.description.versionPublished versionen
dc.format.extent15 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN 17562848241227031 (Article number)en
dc.identifier.doihttps://doi.org/10.1177/17562848241227031en
dc.identifier.eissn1756-2848en
dc.identifier.issn1756-283Xen
dc.identifier.otherPMC10883116en
dc.identifier.other10.1177_17562848241227031 (PII)en
dc.identifier.pmid38390029en
dc.identifier.urihttps://hdl.handle.net/10919/124738en
dc.identifier.volume17en
dc.language.isoenen
dc.publisherSageen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/38390029en
dc.rightsCreative Commons Attribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectartificial intelligenceen
dc.subjectChatGPTen
dc.subjectlarge language modelsen
dc.subjectmachine learningen
dc.titleLarge language models: a primer and gastroenterology applicationsen
dc.title.serialTherapeutic Advances in Gastroenterologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherJournalen
dcterms.dateAccepted2024-01-02en
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/VT Carilion School of Medicineen
pubs.organisational-groupVirginia Tech/VT Carilion School of Medicine/Internal Medicineen
pubs.organisational-groupVirginia Tech/VT Carilion School of Medicine/Internal Medicine/General IMen

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