医学
人工智能
疾病
医疗保健
个性化医疗
疾病管理
梅德林
数据科学
知识管理
生物信息学
替代医学
病理
健康管理体系
计算机科学
政治学
法学
经济
生物
经济增长
作者
Neeraj Bhala,Vijay H. Shah
标识
DOI:10.1016/j.cld.2024.06.016
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI