Explainable machine learning for perioperative surgical site infection risk enrichment after operative treatment of closed pilon fractures: a multicenter retrospective study with external validation - Poll - MDSpire

Explainable machine learning for perioperative surgical site infection risk enrichment after operative treatment of closed pilon fractures: a multicenter retrospective study with external validation

  • By

  • Zhigang Deng

  • Feifei Zhao

  • Yanci Zhang

  • Tao Zhang

  • Xuebin Zhang

  • Yang Luo

  • July 6, 2026

  • 0 min

Share

Original Source(s)

Explainable machine learning for perioperative surgical site infection risk enrichment after operative treatment of closed pilon fractures: a multicenter retrospective study with external validation

  • by Zhigang Deng, Feifei Zhao, Yanci Zhang, Tao Zhang, Xuebin Zhang, Yang Luo

  • July 6, 2026

Related Content

Lower BMI, Lower Joint Replacement Risk?

Researchers urge caution in interpreting joint replacement predictors, noting that surgery reflects access and decision-making as well as disease biology.

Case Report: Arthroscopic minimally invasive treatment of pediatric calcaneal fracture

Leveraging transformer-based artificial intelligence for enhanced anesthetic decision-making in orthopedic surgery