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E-collection 'Artificial Intelligence (other than Clinical Decision Support)'

Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. More specifically, Kaplan and Haenlein define AI as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation”. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving" (Wikipedia).

This JMIR e-collection focuses on methods and approaches using artificial intelligence in health and medicine (with an emphasis on non-clinical AI).

For clinical decision making see Decision Support for Health Professionals and Clinical Information and Decision Making; for decision support for consumers see also Consumer & Patient Education and Shared-Decision Making.

See also JMIR e-collections on Robotics in RehabilitationChatbots and Conversational Agents, Robots in HealthcareMachine Learning, and Natural Language Processing for related concepts and methods. 


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