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

Jan Kral ^1,2, Michal Hradis ^3,4, Marek Buzga ^5,6

⁰Department of Internal Medicine, University Hospital Motol and Second Faculty of Medicine, Charles University, Prague, Czech Republic.

Biomedical Papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia +

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September 5, 2024

View abstract on PubMed

Summary

Large language models (LLMs) offer transformative potential in gastroenterology for diagnosis and patient care. Addressing challenges like data bias and privacy is crucial for integrating AI responsibly into medical practice.

Area Of Science

Gastroenterology
Artificial Intelligence
Medical Technology

Background

Artificial Intelligence (AI) has advanced significantly, with large language models (LLMs) like ChatGPT now capable of generating human-like text.
LLMs present a paradigm shift with the potential to revolutionize gastroenterology across diagnosis, treatment, education, and decision support.

Purpose Of The Study

To explore the potential benefits and drawbacks of implementing LLMs in gastroenterology.
To outline the future role of LLMs in enhancing patient care and physician support within the field.

Main Methods

Review of current AI capabilities in natural language processing and deep learning.
Analysis of potential applications and challenges of LLMs in gastroenterological practice.

Main Results

LLMs can accelerate diagnosis, personalize treatment, enhance medical education, and improve patient communication.
Key challenges include AI limitations, data bias, errors, security concerns, and implementation costs.

Conclusions

Responsible integration of LLMs in gastroenterology requires addressing limitations and risks through collaboration between developers, clinicians, and regulators.
Balancing AI capabilities with human expertise is essential for optimizing patient outcomes and supporting healthcare professionals.

Keywords:

artificial intelligence gastroenterology large language model

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