Abstract: Systems and methods for the detection of musculoskeletal anomalies are disclosed. Various embodiments are directed to methods to detect and treat anomalies, including fracture (e.g. clavicle), deformity (e.g. scoliosis), and other anomalies. Various embodiments utilize structured white light scanners, while additional embodiments utilize LiDAR to generate 3-dimensional (3D) topographic scans. Various embodiments obtain these scans via a mobile device, such as a mobile phone or tablet. Further embodiments utilize machine learning models to analyze the 3D scans to identify an anomaly and/or a treatment for such anomaly and/or monitor change of that condition over time.