医疗保健
临床决策支持系统
人工智能应用
医学诊断
个性化医疗
精密医学
大数据
工程伦理学
数据科学
卫生信息技术
知识管理
人工智能
计算机科学
医学
决策支持系统
工程类
政治学
数据挖掘
生物信息学
病理
法学
生物
标识
DOI:10.24908/qap.v1i1.16419
摘要
This article discusses the potential of artificial intelligence (AI) in medicine to address complex challenges, from personalized treatment to difficult diagnoses. The use of AI in medicine has exhibited remarkable performance in various fields, including evidence-based clinical decision support, AI-assisted surgery, and electronic health records analysis. However, challenges remain, such as data silos and potential biases in AI training data. Despite these challenges, AI technology has the potential to transform healthcare in significant ways, and ongoing research and development, collaborations among stakeholders, and innovative initiatives can help ensure its safe and ethical use in medicine and healthcare.
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