Strategic Applications of Artificial Intelligence in Healthcare and Medicine

C. Chan, Douglas Petrikat
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Abstract

The COVID-19 pandemic has expedited the adoption of artificial intelligence (AI) in the healthcare industry. The need for rapid diagnosis and treatment, as well as the demand for remote care and monitoring, has led to an increased focus on AI solutions that can improve healthcare delivery and patient outcomes. AI-powered technologies such as predictive analytics, natural language processing, and computer vision have been deployed to support screening and diagnosis, drug discovery, and vaccine development. Additionally, AI-powered chatbots and virtual assistants have been used to triage patients and provide remote care. While the adoption of AI in healthcare has brought tremendous benefits, there are still challenges to be addressed. This paper will explore the adoption, benefits, and challenges of AI in the healthcare industry, shedding light on the prowess of AI in revolutionizing healthcare while also underscoring the need for careful implementation and ethical considerations. This study will conclude with 5 case studies of top U.S. hospitals that have adopted AI for diverse purposes.
人工智能在医疗保健和医学中的战略应用
COVID-19大流行加速了人工智能(AI)在医疗保健行业的应用。由于对快速诊断和治疗的需求以及对远程护理和监测的需求,人们越来越关注能够改善医疗保健服务和患者治疗效果的人工智能解决方案。预测分析、自然语言处理和计算机视觉等人工智能技术已被用于支持筛查和诊断、药物发现和疫苗开发。此外,人工智能聊天机器人和虚拟助手已被用于对患者进行分类和提供远程护理。虽然人工智能在医疗保健领域的应用带来了巨大的好处,但仍有一些挑战需要解决。本文将探讨人工智能在医疗保健行业的采用、好处和挑战,揭示人工智能在彻底改变医疗保健方面的实力,同时也强调了谨慎实施和道德考虑的必要性。本研究将以美国顶级医院的5个案例研究结束,这些医院在不同的目的上采用了人工智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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