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Artificial Intelligence, Large Language Models, and Digital Health in the Management of Alcohol-Associated Liver
1Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55904, USA; Nottingham Digestive Diseases Centre, Translational Medical Sciences, NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham School of Medicine, Queens Medical Centre, University of Nottingham, Nottingham NG7 2UH, UK.
Abstract:
Artificial intelligence (AI) has the potential to aid in the diagnosis and management of alcohol-associated liver disease (ALD). Machine learning algorithms can analyze medical data, such as patient records and imaging results, to identify patterns and predict disease progression. Newer advances such as large language models (LLMs) can enhance early detection and personalized treatment strategies for individuals with chronic diseases such as ALD. However, it is essential to integrate LLMs and other AI tools responsibly, considering ethical concerns in health care applications and ensuring an evidence base for real-world applications of the existing knowledge.
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