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 KUNOVSKÝZákladní 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
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.