Artificial Intelligence, Large Language Models, and Digital Health in the Management of Alcohol-Associated Liver Disease

AI has the potential to aid in the diagnosis and management of ALD even despite some specific challenges such as stigma and reliable recording. Newer AI approaches such as ML algorithms can analyze medical data, such as patient records and imaging results, to identify patterns and predict disease progression. Other AI tools such as LLMs can enhance early detection and personalized treatment strategies for individuals with chronic diseases such as ALD. However, it is essential to integrate AI tools responsibly as part of the wider research agenda,22 22 considering ethical concerns in health care applications and ensuring an evidence base for real-world applications. Digital health solutions also play a crucial role in addressing ALD. Mobile apps and wearable devices can assist individuals in tracking their alcohol consumption, providing real-time data to both patients and health care providers. Additionally, telehealth plat- forms enable remote monitoring and consultations, enhancing access to health care services for those with ALD. An evidence base for novel AI and digital health tools in hepatology, and ALD in particular, is emerging: however, this needs further augmenta- tion Ied clinically and applied in real-world practice settings. Integrating digital tools into ALD management with responsible use of LLMs can support prevention, early detec- tion, and ongoing care, ultimately improving patient outcomes at scale.