Anesthesia and artificial intelligence
where are we and where are we going?
DOI:
https://doi.org/10.29327/2396527.65.65-9Keywords:
Anesthesiology, Artificial Intelligence, Machine Learning, Deep LearningAbstract
Technology based on Artificial Intelligence (AI) and its subfields such as Machine Learning and Deep Learning applied to the healthcare sector is undergoing rapid evolution. In the field of anesthesiology, its applications can be observed in the areas of preoperative assessment, monitoring of anesthetic depth, automated drug administration, ultrasound-guided regional anesthesia, and surgical room management with promising results.
Objective: The objective of this narrative literature review is to understand the technological landscape in which anesthesiology currently exists and explore future perspectives. It aims to comprehend the results, barriers, and challenges within this field.
Methodology: This study consists of a literature review, conducted through the analysis of articles on the PubMed platform from the years 2010 to 2023, using the terms: Anesthesiology, Artificial Intelligence, Machine Learning, and Deep Learning.
Results: 65 articles related to the searched terms were identified, of which 25 articles were selected. After excluding 3 articles unrelated to the theme, 22 articles were deemed eligible, and 15 articles were chosen for the present study.
Conclusion: Artificial Intelligence and its subfields are undergoing progressive development and expansion. The ability to create algorithms that perform tasks and solve problems similarly to human intelligence is present in various areas of anesthesiology. They assist experts in delivering quality, safety, and efficiency in care; however, ethical, moral, and social barriers must be overcome. Despite showing promising results, future studies regarding their applicability should be conducted, and the presence of the anesthesiologist is still indispensable in clinical practice.
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