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This field deals with utilization of machine-learning algorithms and artificial intelligence, to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data. Specifically, AI is the ability of computer algorithms to approximate conclusions based solely on input data.
Through the use of machine learning, artificial intelligence can be able to substantially aid doctors in patient diagnosis through the analysis of mass electronic health records (EHRs). [22] AI can help early prediction, for example, of Alzheimer's disease and dementias, by looking through large numbers of similar cases and possible treatments ...
Ai champions envision a future where machine learning and artificial intelligence might be applied in writing, personalization, feedback or course development. The growing popularity of AI, is especially apparent to many who have invested in higher education in the past decade. [ 17 ]
Health information technology (HIT) is "the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, health data, and knowledge for communication and decision making". [8]
Many AI platforms use Wikipedia data, [273] mainly for training machine learning applications. There is research and development of various artificial intelligence applications for Wikipedia such as for identifying outdated sentences, [ 274 ] detecting covert vandalism [ 275 ] or recommending articles and tasks to new editors.
The use of advocacy-inquiry (AI) questioning is highly encouraged by nearly all authors of debriefing models. [ 33 ] [ 34 ] [ 31 ] [ 26 ] Advocacy-inquiry consists of pairing "an assertion, observation, or statement" (advocacy), together with a question (inquiry), in order to elicit the mental frameworks – or schema – of both the ...
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Currently skills-based learning required for the nursing program takes place in a lab or simulation environment. The concern with simulation learning or the use of sims is the lack of realism. [4] Through the use of virtual reality, the simulation learning environment can be more realistic. [4]