https://www.selleckchem.com/products/ly2874455.html RESULTS Among the CVM stage classifier models, the best result was achieved using the ANN model (κ = 0.926). Among cervical vertebrae morphology classifier models, the best result was achieved using the LR model (κ = 0.968) for the presence of concavity, and the DT model (κ = 0.949) for vertebral body shapes. CONCLUSIONS This study has proposed ML models for CVM assessment on lateral cephalometric radiographs, which can be used for the prediction of cervical vertebrae morphology. Further studies should be done especially of forensic applications of AI models through CVM evaluations.Purpose Conducting and interpreting videofluoroscopic swallow studies (VFSS) is a complex, multi-dimensional task, requiring post-qualification training to develop knowledge, skill and competence. Speech-language pathology (SLP) managers must continually ensure staffs are adequately trained to deliver safe and effective VFSS services. However, VFSS training is resource intensive, variable in content and not consistently accessed universally. This study examined managers' perceptions of a new VFSS eLearning programme and its impact on VFSS training and service delivery. The eLearning programme incorporated theoretical and procedural aspects of VFSS, accessed free of charge by speech-language pathologists working in a large public health service in Queensland, Australia.Method Twenty-two SLP managers participated in semi-structured interviews, which were evaluated using inductive content analysis.Result Four themes were identified relating to eLearning benefits (1) design and content facilitated widespread uptake, (2) enhanced training opportunities, (3) increased clinical skill and workforce capacity and (4) benefits and efficiencies for SLP services. A fifth theme described contextual considerations for using the programme.Conclusion This study contributes information about the benefits of eLearning for delivering consistent, accessible