Prognostic study uses a machine learning model to predict complications after postmastectomy breast reconstruction, suggesting improved decision-making.
In this prognostic study of PMBR outcomes, an internally validated ML model trained on both structured and unstructured clinical data was used to predict 1-year major complications. Such models support personalized risk assessment, inform decision-making, and provide a foundation for future externally validated and prospectively tested decision-support tools.
No takes yet. Share an insight, caveat, or question.
Shaheen et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: