Trustworthy AI models to predict prolonged hospital length-of-stay in orthopedic surgery
Abstract We developed and validated a trustworthy and uncertainty-aware artificial intelligence (AI) and machine learning (ML) framework for predicting prolonged hospital length-of-stay (LOS) in orthopedic inpatient surgery using exclusively preoperative clinical and procedural data from the Nationa...
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| Principais autores: | , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group
2026-07-01
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| coleção: | npj Health Systems |
| Acesso em linha: | https://doi.org/10.1038/s44401-026-00124-w |
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