Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00209805%3A_____%2F24%3A00079950" target="_blank" >RIV/00209805:_____/24:00079950 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14110/24:00137177 RIV/61988987:17110/24:A2503AEH RIV/00216208:11130/24:10484142 RIV/61989592:15110/24:73625952 and 4 more

Result on the web

<a href="https://biomed.papers.upol.cz/artkey/bio-202404-0001_exploring-the-benefits-and-challenges-of-ai-driven-large-language-models-in-gastroenterology-think-out-of-the.php" target="_blank" >https://biomed.papers.upol.cz/artkey/bio-202404-0001_exploring-the-benefits-and-challenges-of-ai-driven-large-language-models-in-gastroenterology-think-out-of-the.php</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5507/bp.2024.027" target="_blank" >10.5507/bp.2024.027</a>

Result language

angličtina

Original language name

Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box

Original language description

Artificial Intelligence (AI) has evolved significantly over the past decades, from its early concepts in the 1950s to the present era of deep learning and natural language processing. Advanced large language models (LLMs), such as Chatbot Generative Pre-Trained Transformer (ChatGPT) is trained to generate human-like text responses. This technology has the potential to revolutionize various aspects of gastroenterology, including diagnosis, treatment, education, and decision-making support. The benefits of using LLMs in gastroenterology could include accelerating diagnosis and treatment, providing personalized care, enhancing education and training, assisting in decision-making, and improving communication with patients. However, drawbacks and challenges such as limited AI capability, training on possibly biased data, data errors, security and privacy concerns, and implementation costs must be addressed to ensure the responsible and effective use of this technology. The future of LLMs in gastroenterology relies on the ability to process and analyse large amounts of data, identify patterns, and summarize information and thus assist physicians in creating personalized treatment plans. As AI advances, LLMs will become more accurate and efficient, allowing for faster diagnosis and treatment of gastroenterological conditions. Ensuring effective collaboration between AI developers, healthcare professionals, and regulatory bodies is essential for the responsible and effective use of this technology. By finding the right balance between AI and human expertise and addressing the limitations and risks associated with its use, LLMs can play an increasingly significant role in gastroenterology, contributing to better patient care and supporting doctors in their work.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30219 - Gastroenterology and hepatology

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Biomedical papers of the Medical Faculty of the University Palacký, Olomouc, Czechoslovakia

ISSN

1213-8118

e-ISSN

1804-7521

Volume of the periodical

168

Issue of the periodical within the volume

4

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

277-283

UT code for WoS article

001306654600001

EID of the result in the Scopus database

2-s2.0-85211385442