Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box
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 ge...
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Palacký University Olomouc, Faculty of Medicine and Dentistry
2024-11-01
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Series: | Biomedical Papers |
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Online Access: | 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 |
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author | Jan Kral Michal Hradis Marek Buzga Lumir Kunovsky |
author_facet | Jan Kral Michal Hradis Marek Buzga Lumir Kunovsky |
author_sort | Jan Kral |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-eaf5269551dc4ed2bc5b41f493705ba0 |
institution | Kabale University |
issn | 1213-8118 1804-7521 |
language | English |
publishDate | 2024-11-01 |
publisher | Palacký University Olomouc, Faculty of Medicine and Dentistry |
record_format | Article |
series | Biomedical Papers |
spelling | doaj-art-eaf5269551dc4ed2bc5b41f493705ba02024-11-26T10:16:01ZengPalacký University Olomouc, Faculty of Medicine and DentistryBiomedical Papers1213-81181804-75212024-11-01168427728310.5507/bp.2024.027bio-202404-0001Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the boxJan Kral0Michal Hradis1Marek Buzga2Lumir Kunovsky3Department of Internal Medicine, University Hospital Motol and Second Faculty of Medicine, Charles University, Prague, Czech RepublicMAIA LABS s.r.o., Brno, Czech RepublicDepartment of Physiology and Pathophysiology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic2nd Department of Internal Medicine - Gastroenterology and Geriatrics, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech RepublicArtificial 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.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.phpartificial intelligencelarge language modelgastroenterology |
spellingShingle | Jan Kral Michal Hradis Marek Buzga Lumir Kunovsky Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box Biomedical Papers artificial intelligence large language model gastroenterology |
title | Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box |
title_full | Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box |
title_fullStr | Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box |
title_full_unstemmed | Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box |
title_short | Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box |
title_sort | exploring the benefits and challenges of ai driven large language models in gastroenterology think out of the box |
topic | artificial intelligence large language model gastroenterology |
url | 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 |
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