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Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box
J. Kral, M. Hradis, M. Buzga, L. Kunovsky
Jazyk angličtina Země Česko
Typ dokumentu časopisecké články, přehledy
NLK
Directory of Open Access Journals
od 2001
Free Medical Journals
od 1998
Medline Complete (EBSCOhost)
od 2007-06-01
ROAD: Directory of Open Access Scholarly Resources
od 2001
PubMed
39234774
DOI
10.5507/bp.2024.027
Knihovny.cz E-zdroje
- MeSH
- deep learning MeSH
- gastroenterologie * MeSH
- lidé MeSH
- umělá inteligence * MeSH
- zpracování přirozeného jazyka * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
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.
Faculty of Information Technology University of Technology Brno Czech Republic
Institute of Laboratory Medicine University Hospital Ostrava Ostrava Czech Republic
Citace poskytuje Crossref.org
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