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Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
Automated medical scribes (also called artificial intelligence scribes, AI scribes, digital scribes, virtual scribes, ambient AI scribes, AI documentation assistants, and digital/virtual/smart clinical assistants [1]) are tools for transcribing medical speech, such as patient consultations and dictated medical notes. Many also produce summaries ...
Artificial intelligence in pharmacy is the application of artificial intelligence (AI) [1] [2] [3] to the discovery, development, and the treatment of patients with medications. [4] AI in pharmacy practices has the potential to revolutionize all aspects of pharmaceutical research as well as to improve the clinical application of pharmaceuticals ...
The multidisciplinary innovation team includes physicians, researchers and data scientists who have specialized in artificial intelligence. The team seeks opportunities to address large unmet ...
A pioneer in the use of artificial intelligence in healthcare was American biomedical informatician Edward H. Shortliffe. 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.
Personalized statistical medicine is reaching to clinical decisions regarding diagnosis, treatment, and prognosis in individual cases by using statistical tools. Prominent among these tools are scoring systems, indexes, scales, models, decision trees, and artificial intelligence/ machine learning processes. [10]
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