Effect of AI early warning system for intraoperative hypotension

Editor's Note

The use of an artificial intelligence (AI) early warning system, compared with standard care, resulted in less intraoperative hypotension in this preliminary study.

This single-center, preliminary study from the Netherlands, which included 68 patients (intervention group, 34 and control group, 34) having elective noncardiac surgery, found that application of an AI early warning system for intraoperative hypotension in combination with a hemodynamic diagnostic guide and treatment protocol significantly reduced the time-weighted average of hypotension during surgery. In addition, hypotension was prevented without increasing the number of hypertensive events.

The median time of hypotension per patient was 8.0 minutes in the intervention group vs 32.7 minutes in the control group. In the intervention group, there were 0 serious adverse events resulting in death vs 2 in the control group.

Further research with larger study populations is needed to understand the effect on patient outcomes and to assess safety and generalizability, the researchers say.