To develop a multimodal transformer, Ortho PeriFT, for real-time prediction, therapeutic recommendations, and continuous monitoring in orthopedic anesthesia.
Approach:
Key Findings:
Ortho PeriFT enhanced discrimination and precision-recall for primary outcomes compared to classical and neural baselines.
The model reduced calibration error and negative log-likelihood while maintaining narrow uncertainty bands.
Streaming analyses provided earlier warnings at matched false alarm rates across orthopedic subtypes.
Interpretation:
Limitations:
External validity across institutions is inconsistent.
Many existing systems prioritize discrimination over calibration, uncertainty, clinical utility, and fairness.
Teriparatide followed by zoledronic acid increased bone mineral density but did not reduce fracture risk compared with standard care in adults with osteogenesis imperfecta.
