Key result
An artificial intelligence algorithm integrated into anesthesia software predicted intraoperative hypotension up to 20 minutes in advance with an accuracy ranging from 84.92% to 89.07% and sensitivity from 82.15% to 90.86%.
Why the study?
Intraoperative hypotension is a frequent complication linked to adverse cardiovascular, cerebral, and renal outcomes, where cumulative exposure time is a significant risk factor.
Observational (n=500,000)
May support HPI alerts to limit IOH exposure; leaves open whether adoption improves outcomes.
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Pretto et al. (2025) conducted an observational in Intraoperative hypotension (n=500,000). Artificial intelligence prediction algorithm (AxReg) was evaluated on Accuracy and sensitivity of hypotension prediction 5 to 20 minutes in advance. An artificial intelligence algorithm integrated into anesthesia software predicted intraoperative hypotension up to 20 minutes in advance with an accuracy ranging from 84.92% to 89.07% and sensitivity from 82.15% to 90.86%.
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