Why the study?
Intraoperative hypotension is common and associated with adverse events, prompting the use of artificial intelligence to predict and prevent hypotension.
The Hypotension Prediction Index is a machine learning algorithm that can predict intraoperative hypotension up to 15 minutes before it occurs, potentially allowing for proactive rather than reactive hemodynamic management.
AI hypotension prediction may reduce intraoperative events; leaves open need for RCTs before routine adoption.
Intraoperative hypotension is common and has been associated with adverse events, including acute kidney failure, myocardial infarction, and stroke. Since blood pressure is a multidimensional and measurable variable, artificial intelligence and machine learning have been used to predict it. To date, studies have shown that the prediction and prevention of hypotension can reduce the incidence of hypotension. This review describes the development and evaluation of an artificial intelligence predictive algorithm called Hypotension Prediction (HPI), which can predict hypotension up to 15 min before it occurs.
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Ripollés‐Melchor et al. (2023) studied this question.
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