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Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges.
Lee, DonHee; Yoon, Seong No.
Afiliación
  • Lee D; College of Business Administration, Inha University, Incheon 22212, Korea.
  • Yoon SN; Department of Business Edward Waters College, Jacksonville, FL 32209, USA.
Article en En | MEDLINE | ID: mdl-33401373
This study examines the current state of artificial intelligence (AI)-based technology applications and their impact on the healthcare industry. In addition to a thorough review of the literature, this study analyzed several real-world examples of AI applications in healthcare. The results indicate that major hospitals are, at present, using AI-enabled systems to augment medical staff in patient diagnosis and treatment activities for a wide range of diseases. In addition, AI systems are making an impact on improving the efficiency of nursing and managerial activities of hospitals. While AI is being embraced positively by healthcare providers, its applications provide both the utopian perspective (new opportunities) and the dystopian view (challenges to overcome). We discuss the details of those opportunities and challenges to provide a balanced view of the value of AI applications in healthcare. It is clear that rapid advances of AI and related technologies will help care providers create new value for their patients and improve the efficiency of their operational processes. Nevertheless, effective applications of AI will require effective planning and strategies to transform the entire care service and operations to reap the benefits of what technologies offer.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Sector de Atención de Salud / Tecnología Biomédica Límite: Humans Idioma: En Revista: Int J Environ Res Public Health Año: 2021 Tipo del documento: Article Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Sector de Atención de Salud / Tecnología Biomédica Límite: Humans Idioma: En Revista: Int J Environ Res Public Health Año: 2021 Tipo del documento: Article Pais de publicación: Suiza