The chapter discusses the role of Artificial Intelligence (AI) in healthcare, highlighting its potential to revolutionize the sector through automation and智能化。Jeanette Herrle, with a PhD in the history of medicine, science, and technology, emphasizes that AI is poised to become the next pervasive and transformative technology, particularly in healthcare. The automation of healthcare through AI involves a range of applications, from pattern recognition to predictive analytics, and includes devices like AI-driven insulin pumps. The current momentum for AI in healthcare is driven by advancements in computing power, cloud computing, and the availability of large data sets, as well as the Internet of Things (IoT). This "intelligent" digitization is expected to have both direct and indirect impacts on clinical practice and patient experience, such as through new automated tools and data-driven research in precision medicine. AI applications in healthcare have expanded into "smart" services and products, particularly in diagnostics, including smart monitors, imaging analysis, and screening tools. For instance, automated analysis of retinal scans can diagnose age-related macular degeneration or diabetic retinopathy. AI also supports clinical decision-making through predictive models that inform treatment choices based on individual patient data. Telehealth and telehomecare are other areas where AI is driving innovation, from simple bots for triage and patient education to intelligent assistants that provide homecare support. Digital therapeutics, which use software for remote monitoring and behavioral modification, are gaining traction, offering real-time data and feedback loops to optimize treatment regimens. While AI in healthcare shows significant promise, it is still in its early stages. Current AI algorithms are "narrow" and focused on specific tasks, such as improving the accuracy of automated diagnoses. General AI, which encompasses all aspects of human intelligence, remains a distant goal. Healthcare practitioners should view AI as a tool to enhance their capabilities rather than a replacement, particularly in skilled labor roles.The chapter discusses the role of Artificial Intelligence (AI) in healthcare, highlighting its potential to revolutionize the sector through automation and智能化。Jeanette Herrle, with a PhD in the history of medicine, science, and technology, emphasizes that AI is poised to become the next pervasive and transformative technology, particularly in healthcare. The automation of healthcare through AI involves a range of applications, from pattern recognition to predictive analytics, and includes devices like AI-driven insulin pumps. The current momentum for AI in healthcare is driven by advancements in computing power, cloud computing, and the availability of large data sets, as well as the Internet of Things (IoT). This "intelligent" digitization is expected to have both direct and indirect impacts on clinical practice and patient experience, such as through new automated tools and data-driven research in precision medicine. AI applications in healthcare have expanded into "smart" services and products, particularly in diagnostics, including smart monitors, imaging analysis, and screening tools. For instance, automated analysis of retinal scans can diagnose age-related macular degeneration or diabetic retinopathy. AI also supports clinical decision-making through predictive models that inform treatment choices based on individual patient data. Telehealth and telehomecare are other areas where AI is driving innovation, from simple bots for triage and patient education to intelligent assistants that provide homecare support. Digital therapeutics, which use software for remote monitoring and behavioral modification, are gaining traction, offering real-time data and feedback loops to optimize treatment regimens. While AI in healthcare shows significant promise, it is still in its early stages. Current AI algorithms are "narrow" and focused on specific tasks, such as improving the accuracy of automated diagnoses. General AI, which encompasses all aspects of human intelligence, remains a distant goal. Healthcare practitioners should view AI as a tool to enhance their capabilities rather than a replacement, particularly in skilled labor roles.