Strategic Applications of Artificial Intelligence in Healthcare and Medicine
Claire Yi Tian Chan, Douglas Petrikat
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.