J 2024

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

KRAL, Jan; Michal HRADIS; Marek BUZGA a Lumír KUNOVSKÝ

Základní údaje

Originální název

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

Autoři

KRAL, Jan; Michal HRADIS; Marek BUZGA a Lumír KUNOVSKÝ

Vydání

Biomedical Papers, Olomouc: Palacky University, Olomouc, Palacky University, 2024, 1213-8118

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30219 Gastroenterology and hepatology

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 0.700

Kód RIV

RIV/00216224:14110/24:00137177

Organizační jednotka

Lékařská fakulta

UT WoS

001306654600001

EID Scopus

2-s2.0-85211385442

Klíčová slova anglicky

artificial intelligence; large language model; gastroenterology

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 4. 4. 2025 12:57, Mgr. Tereza Miškechová

Anotace

V originále

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.