2021
DOI: 10.35975/apic.v25i1.1428
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Artificial intelligence: what should an intensivist have in mind in the beginning of the new era?

Abstract: A new era is coming for medicine, and for critical care in particular. The intensive care unit is at the edge of being completely changed by artificial intelligence, and many challenges are ahead of the intensive care physician. This article aims to address the benefits and difficulties that big data will bring to clinicians, and to provide an overview on the subject. Key words: Big Data; Artificial intelligence; ICU; Critical Care; Black box Citation: Filho LACB. Artificial intelligence: what shou… Show more

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Cited by 2 publications
(2 citation statements)
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“…AI can play an increasing part to enhance the knowledge base of the clinicians. [23][24][25] Patient education and empowerment should be encouraged, with patients and their families informed about anesthesia procedures, risks, and post-operative care. 37 Accurate documentation of procedures, medications, and patient should be prioritized, with electronic medical record systems or standardized paper-based records being implemented to facilitate efficient retrieval and auditing practices.…”
Section: Improving Quality Of Patient Carementioning
confidence: 99%
“…AI can play an increasing part to enhance the knowledge base of the clinicians. [23][24][25] Patient education and empowerment should be encouraged, with patients and their families informed about anesthesia procedures, risks, and post-operative care. 37 Accurate documentation of procedures, medications, and patient should be prioritized, with electronic medical record systems or standardized paper-based records being implemented to facilitate efficient retrieval and auditing practices.…”
Section: Improving Quality Of Patient Carementioning
confidence: 99%
“…The capacity of such machines to cross variables is infinitely greater than that of the human brain and to store data. Medicine as a whole is being revolutionized, and Intensive Care Medicine, due to the large amount of data generated by the continuous monitoring of vital signs, is in the front line of this process 15 .…”
Section: Figurementioning
confidence: 99%