Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery

arXiv:2404.11760v1 Announce Type: new
Abstract: Bone non-union is among the most severe complications associated with trauma surgery, occurring in 10-30% of cases after long bone fractures. Treating non-unions requires a high level of surgical expertise and often involves multiple revision surgeries, sometimes even leading to amputation. Thus, more accurate prognosis is crucial for patient well-being. Recent advances in machine learning (ML) hold promise for developing models to predict non-union healing, even when working with smaller datasets, a commonly encountered challenge …

abstract arxiv cases cs.lg development expertise identify model development multiple patients predictive surgery trauma type union unions