Applications of Artificial Intelligence in Clinical Decision Making: Opportunities and Challenges

Document Type : Short Communication(s)

Authors
Farahnaz Sadoughi 1
Abbas Sheikhtaheri 2
1 PhD, Associate Professor, Health Information Management, Tehran University of Medical Sciences, Tehran, Iran.
2 PhD Student, Health Information Management, Tehran University of Medical Sciences, Tehran, Iran.
Abstract
Due to the complexity of medical decision making, the application of information systems to support clinical decisions has increased. In this regard, the role of artificial intelligence (AI) is significant. This article discusses the opportunities and challenges of these systems. Technology limitations, cost, expert maintenance, clinical data entry, some issues in knowledge acquisition and knowledge engineering, modeling of medical knowledge, accuracy of the systems and the methods to validate the systems, errors in the systems and accountability, the limited scope of the systems, as well as the necessity of integrating AI systems in routine practice are the main challenges that should be overcome or adequately answered to increase the application of these systems.Keywords: Artificial intelligence; Expert System; Neutral Networks (Computer); Medical Decision Making, Computer-Assisted.