Key result
AI models show satisfactory surgical risk prediction but no clear superiority over traditional regression.
Why the study?
Risk prediction and stratification of short-term and long-term postoperative outcomes are increasingly important in clinical practice, but challenges remain in applying AI-based models effectively and transparently.
Risk prediction and stratification of short-term and long-term postoperative outcomes are growing in importance and scope of application in everyday clinical practice [...].
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Kokkinakis et al. (2023) conducted an editorial in Surgical risk and postoperative outcomes. Artificial Intelligence and Machine Learning prediction models vs. Traditional regression models was evaluated. Machine learning and artificial intelligence models demonstrate satisfactory predictive performance for surgical risk, though they lack clear superiority over traditional regression methods and face challenges with transparency.
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