Publication detail
Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box
KRÁL, J. HRADIŠ, M. BUŽGA, M. KUNOVSKÝ, L.
Original Title
Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box
Type
journal article in Web of Science
Language
English
Original Abstract
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 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.
Keywords
artificial intelligence; large language model; gastroenterology
Authors
KRÁL, J.; HRADIŠ, M.; BUŽGA, M.; KUNOVSKÝ, L.
Released
1. 12. 2024
Publisher
PALACKY UNIV, MEDICAL FAC
Location
OLOMOUC
ISBN
1213-8118
Periodical
Biomedical Papers
Year of study
168
Number
4
State
Czech Republic
Pages from
277
Pages to
283
Pages count
7
URL
Full text in the Digital Library
BibTex
@article{BUT197613,
author="Jan {Král} and Michal {Hradiš} and Marek {Bužga} and Lumír {Kunovský}",
title="Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box",
journal="Biomedical Papers",
year="2024",
volume="168",
number="4",
pages="277--283",
doi="10.5507/bp.2024.027",
issn="1213-8118",
url="https://biomed.papers.upol.cz/pdfs/bio/2024/04/01.pdf"
}