1. Alonso-Silverio, G. A., Pérez-Escamirosa, F., Bruno-Sanchez, R., Ortiz-Simon, J. L., Muñoz-Guerrero, R., Minor-Martinez, A., & Alarcón-Paredes, A. (2018). Development of a laparoscopic box trainer based on open source hardware and artificial intelligence for objective assessment of surgical psychomotor skills. Surgical Innovation, 25(4), 380–388. https://doi.org/10.1177/1553350618777045
2. Andersen, B. R., Hinrich, J. L., Rasmussen, M. B., Lehmann, S., Ringsted, C., Løkkegaard, E., & Tolsgaard, M. G. (2020). Social ties between team members affect patient satisfaction: A data-driven approach to handling complex network analyses. Advances in Health Sciences Education: Theory and Practice, 25(3), 581–606. https://doi.org/10.1007/s10459-019-09941-1
3. Anderson, C. (2008). The end of theory: The data deluge makes the scientific method obsolete. Wired, 23 June 2008. Retrieved July 30, 2020, from http://www.wired.com/science/discoveries/magazine/16-07/pb_theory.
4. Albert, M., Hodges, B., & Regehr, G. (2007). Research in medical education: Balancing service and science. Advances in Health Sciences Education: Theory and Practice, 12(1), 103–115. https://doi.org/10.1007/s10459-006-9026-2
5. Baker, R. S. J. (2010). Data mining for education. In B. McGaw, P. Peterson, & E. Baker (Eds.) International encyclopedia of education (3rd ed.). Oxford: Elsevier. Retrieved 31, 2020, from http://www.columbia.edu/~rsb2162/Encyclopedia%20Chapter%20Draft%20v10%20-fw.pdf.