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

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30219 - Gastroenterology and hepatology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

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

ISSN

1213-8118

e-ISSN

1804-7521

Svazek periodika

168

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

277-283

Kód UT WoS článku

001306654600001

EID výsledku v databázi Scopus

2-s2.0-85211385442