Simon Hackl

Predicting nonunion – a hybrid machine-learning model combining patient factors and mechanobiological simulation features exceeds clinician accuracy

Aims To compare the accuracy of a mechanobiological simulation against that of clinicians in forecasting long bone nonunions, and to determine whether the simulation’s results can be effectively used as input for a machine-learning algorithm. Methods This was a retrospective diag...

Wild Boar-Related Injuries in Wilderness Environments: Field-Oriented Management Principles and Evidence-Informed Clinical Recommendations

Wild boar-related trauma is uncommon but may result in severe injuries that pose diagnostic and therapeutic challenges, particularly in wilderness or resource-limited environments. Most scientific literature consists of isolated case reports, regional series, and forensic descrip...