Pose Estimation for Health Professional Education: Development of an Objective Computerized Approach for Measuring and Assessing Technical Competencies in Nursing
Northumbria University Application Seed Funding Scheme

Northumbria University Application Seed Funding Scheme
Funding Source: Northumbria University, UK
Reference Number:
Value: £16,428
2022 - 2022

About the Project


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    Publications

    Advancing Healthcare Practice and Education via Data Sharing: Demonstrating the Utility of Open Data by Training an Artificial Intelligence Model to Assess Cardiopulmonary Resuscitation Skills
    Advancing Healthcare Practice and Education via Data Sharing: Demonstrating the Utility of Open Data by Training an Artificial Intelligence Model to Assess Cardiopulmonary Resuscitation Skills Impact Factor: 3.0Top 25% Journal in Education & Educational Research
    Advances in Health Sciences Education (AHSE), 2024
    Merryn D. Constable, Francis Xiatian Zhang, Tony Conner, Daniel Monk, Jason Rajsic, Claire Ford, Laura Jillian Park, Alan Platt, Debra Porteous, Lawrence Grierson and Hubert P. H. Shum
    Webpage Cite This Plain Text
    Merryn D. Constable, Francis Xiatian Zhang, Tony Conner, Daniel Monk, Jason Rajsic, Claire Ford, Laura Jillian Park, Alan Platt, Debra Porteous, Lawrence Grierson and Hubert P. H. Shum, "Advancing Healthcare Practice and Education via Data Sharing: Demonstrating the Utility of Open Data by Training an Artificial Intelligence Model to Assess Cardiopulmonary Resuscitation Skills," Advances in Health Sciences Education, Springer, 2024.
    Bibtex
    @article{constable24advancing,
     author={Constable, Merryn D. and Zhang, Francis Xiatian and Conner, Tony and Monk, Daniel and Rajsic, Jason and Ford, Claire and Park, Laura Jillian and Platt, Alan and Porteous, Debra and Grierson, Lawrence and Shum, Hubert P. H.},
     journal={Advances in Health Sciences Education},
     title={Advancing Healthcare Practice and Education via Data Sharing: Demonstrating the Utility of Open Data by Training an Artificial Intelligence Model to Assess Cardiopulmonary Resuscitation Skills},
     year={2024},
     doi={10.1007/s10459-024-10369-5},
     issn={1573-1677},
     publisher={Springer},
    }
    RIS
    TY  - JOUR
    AU  - Constable, Merryn D.
    AU  - Zhang, Francis Xiatian
    AU  - Conner, Tony
    AU  - Monk, Daniel
    AU  - Rajsic, Jason
    AU  - Ford, Claire
    AU  - Park, Laura Jillian
    AU  - Platt, Alan
    AU  - Porteous, Debra
    AU  - Grierson, Lawrence
    AU  - Shum, Hubert P. H.
    T2  - Advances in Health Sciences Education
    TI  - Advancing Healthcare Practice and Education via Data Sharing: Demonstrating the Utility of Open Data by Training an Artificial Intelligence Model to Assess Cardiopulmonary Resuscitation Skills
    PY  - 2024
    DO  - 10.1007/s10459-024-10369-5
    SN  - 1573-1677
    PB  - Springer
    ER  - 
    Paper Dataset
    Enhancing Surgical Performance in Cardiothoracic Surgery with Innovations from Computer Vision and Artificial Intelligence: A Narrative Review
    Enhancing Surgical Performance in Cardiothoracic Surgery with Innovations from Computer Vision and Artificial Intelligence: A Narrative Review Impact Factor: 1.5Citation: 10#
    Journal of Cardiothoracic Surgery (JCS), 2024
    Merryn D. Constable, Hubert P. H. Shum and Stephen Clark
    Webpage Cite This Plain Text
    Merryn D. Constable, Hubert P. H. Shum and Stephen Clark, "Enhancing Surgical Performance in Cardiothoracic Surgery with Innovations from Computer Vision and Artificial Intelligence: A Narrative Review," Journal of Cardiothoracic Surgery, vol. 19, pp. 94, BMC, 2024.
    Bibtex
    @article{constable24enhancing,
     author={Constable, Merryn D. and Shum, Hubert P. H. and Clark, Stephen},
     journal={Journal of Cardiothoracic Surgery},
     title={Enhancing Surgical Performance in Cardiothoracic Surgery with Innovations from Computer Vision and Artificial Intelligence: A Narrative Review},
     year={2024},
     volume={19},
     pages={94},
     numpages={10},
     doi={10.1186/s13019-024-02558-5},
     issn={1749-8090},
     publisher={BMC},
    }
    RIS
    TY  - JOUR
    AU  - Constable, Merryn D.
    AU  - Shum, Hubert P. H.
    AU  - Clark, Stephen
    T2  - Journal of Cardiothoracic Surgery
    TI  - Enhancing Surgical Performance in Cardiothoracic Surgery with Innovations from Computer Vision and Artificial Intelligence: A Narrative Review
    PY  - 2024
    VL  - 19
    SP  - 94
    EP  - 94
    DO  - 10.1186/s13019-024-02558-5
    SN  - 1749-8090
    PB  - BMC
    ER  - 
    Paper

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