Artificial Intelligence in Medicine
Volume 38, Issue 1 , Pages 1-4 , September 2006

Intelligent medical training systems

  • Rebecca Crowley

      Affiliations

    • Corresponding Author InformationCorresponding author. Tel.: +1 412 623 1752; fax: +1 412 647 5380.

References 

  1. In:  Kohn L,  Corrigan J,  Donaldson M editor. To err is human: building a safer health system in America. Washington: National Academy Press; 2000;
  2. Gaba DM. The future vision of simulation in health care. Qual Saf Health Care. 2004;13(Suppl. 1):i2–i10
  3. Fried MP, Satava R, Weghorst S, Gallagher AG, Sasaki C, Ross D, et al. Identifying and reducing errors with surgical simulation. Qual Saf Health Care. 2004;13(Suppl. 1):i19–i26
  4. In:  Sleeman D,  Brown JS editor. Intelligent tutoring systems. London: Academic Press; 1982;
  5. Anderson J, Corbett A, Koedinger K, Pelletier R. Cognitive tutors: lessons learned. J Learn Sci. 1995;4(2):167–207
  6. Suthers D, Toth E, Weiner A . An integrated approach to implementing collaborative inquiry in the classroom. In:  Hall R,  Miyake N,  Enyedy N editor. Proceedings of computer-supported collaborative learning. 1997;p. 272–279
  7. Brusilovsky P. Adaptive and intelligent technologies for web-based education. Künstliche Intelligenz. 1999;13(4):19–25
  8. Wenger E. Artificial intelligence and tutoring systems—computational and cognitive approaches to the communication of knowledge. Los Altos, CA: Morgan Kaufmann Publishers; 1987;
  9. Michael JA, Rovick AA, Glass MS, Zhou Y, Evans MW. Learning from a computer tutor with natural language capabilities. Interact Learn Environ. 2003;11:233–262
  10. Freedman R, Rose CP, Ringberger M, VanLehn K. ITS tools for natural language dialogue: a domain-independent parser and planner. In:  Gauthier G,  Frasson C, VanLehn  editor. Proceedings of the intelligent tutoring systems conference (ITS, 2000). Berlin: Springer. 2000;p. 433–442
  11. Suebnukarn S, Haddawy P. A Bayesian approach to generating tutorial hints in a collaborative medical problem-based learning system. Artif Intell Med. 2006;38:5–24
  12. Woo CW, Evens MW, Freedman R, Glass M, Shim LS, Zhang Y, et al. An intelligent tutoring system that generates a natural language dialogue using dynamic multi-level planning. Artif Intell Med. 2006;38:25–46
  13. Day R. Challenges of biological realism and validation in simulation-based medical education. Artif Intell Med. 2006;38:47–66
  14. Romero C, Ventura S, Gibaja EL, Hervás C, Romero F. Web-based adaptive training simulator system for cardiac life support. Artif Intell Med. 2006;38:67–78
  15. Kabanza F, Bisson G, Charneau A, Jang T-S. Implementing tutoring strategies into a patient simulator for clinical reasoning learning. Artif Intell Med. 2006;38:79–96

PII: S0933-3657(06)00096-0

doi: 10.1016/j.artmed.2006.06.001

Artificial Intelligence in Medicine
Volume 38, Issue 1 , Pages 1-4 , September 2006