KRAL, Jan, Michal HRADIS, Marek BUZGA and Lumír KUNOVSKÝ. Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box. Biomedical Papers, Olomouc: Palacky University. Olomouc: Palacky University, 2024, 7 pp. ISSN 1213-8118. Available from: https://dx.doi.org/10.5507/bp.2024.027.
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Basic information
Original name Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box
Authors KRAL, Jan, Michal HRADIS, Marek BUZGA and Lumír KUNOVSKÝ.
Edition Biomedical Papers, Olomouc: Palacky University, Olomouc, Palacky University, 2024, 1213-8118.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30219 Gastroenterology and hepatology
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 0.900 in 2022
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.5507/bp.2024.027
UT WoS 001306654600001
Keywords in English artificial intelligence; large language model; gastroenterology
Tags 14110223
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 23/9/2024 12:20.
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.
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