Development of numerical model-based machine learning algorithms for different healing stages of distal radius fracture healing

•An innovative model to evaluate distal radius fracture healing outcomes is first ever developed.•The computational efficiency and effectiveness are improved using the ML technique.•The selection of the optimal ML algorithm depends on the healing stage.•Smith fractures with medium gap sizes could enhance DRF healing.•Colles fractures with large gap sizes could lead to delayed DRF healing.