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TRV-2026-0665Certified recordPeer-reviewed

Machine learning-based prediction of postoperative nausea and vomiting after spinal anesthesia: A retrospective observational study

Postoperative nausea and vomiting (PONV) is a frequent and serious complication after surgery. PONV also reduces patient satisfaction with surgery under spinal anesthesia and increases medical costs due to prolonged hospitalization. The purpose of this study is to apply artificial intelligence (AI) machine learning analysis to identify risk factors for PONV in patients undergoing surgery with spinal anesthesia. This retrospective study used artificial intelligence to analyze data of adult patients (aged ≥20 year…

Health · G Space — documented gain · certified 2026-08-06 · v1 · article view · machine-readable

Current reading — gain

An ensemble of five machine learning algorithms applied to spinal anesthesia cases identified actionable risk factors for postoperative nausea and vomiting, with postoperative fentanyl as the strongest contributor, and was described as accurate enough to support PONV prediction.

What this doesn’t fix

Findings come from a single-center retrospective dataset with propensity matching that reduced the analytic cohort to 538 of 4,574 patients, limiting generalizability and causal inference.

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Truvace Impact Record TRV-2026-0665, v1: “Machine learning-based prediction of postoperative nausea and vomiting after spinal anesthesia: A retrospective observational study.” Truvace, 2026-08-06. /record/TRV-2026-0665 (accessed at citation time). sha256 0465dd16633a5429…

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