Recent Publications

 

  1. Palaganas, J. C., Bajwa, M., Patel, A. P., Morton, A., Danaher-Garcia, N., & Gross, I. T. (2025).The state of artificial intelligence in healthcare simulation: A 2024 international survey. Cureus Journal of Computer Science, 2, es44389-025-03491-x.https://doi.org/10.7759/s44389-025-03491-x
  2. Grove, T., Lucas, A., Martin, M., Deckers, C., Sherif Mahmood, L., Danaher-Garcia, N., Scerbo, M., Kardong-Edgren S., & Palaganas, J. (2025) Am I as Effective at Identifying Emotions as AI? A Comparative Study of Emotion Recognition. Cureus Journal of Computer Science. Open access: Am I as Effective at Identifying Emotions as Artificial Intelligence? A Comparative Study of Emotion Recognition | Cureus Journals | Article
  3. Bajwa, M., Morton, A., Patel, A., Palaganas, J., & Gross, I. (2025). Artificial Intelligence : Crossing a Threshold in Healthcare Education and Simulation. Cureus Journal of Computer Science. doi: https://doi.org/10.7759/s44389-025-03758-3
  4. Bajwa, M., LeMoine, J. E., Morris, M., & Bajwa, N. (2025). The Partnership Principle for Healthcare Simulations Using Artificial Intelligence: Simulationists and Techies Need to Communicate!. Cureus Journals2(1). doi.org/10.7759/s44389-025-04125-y
  5. Bajwa, M., Pasha, M., & Bajwa, Z. (2025, July). 3D Printing Today, AI Tomorrow: Rethinking Apert Syndrome Surgery in Low-Resource Settings. InHealthcare (Vol. 13, No. 15, p. 1844). MDPI. 3D Printing Today, AI Tomorrow: Rethinking Apert Syndrome Surgery in Low-Resource Settings.
  6. Hoyt, R. E., Knight, D., Haider, M., & Bajwa, M. (2025). Evaluating a Large Reasoning Model’s Performance on Open-Ended Medical Scenarios. medRxiv, 2025-04. Evaluating a Large Reasoning Model’s Performance on Open-Ended Medical Scenarios | medRxiv
  7. Hoyt, R. E., Knight, D., Haider, M., & Bajwa, M. (2025). Evaluating Large Reasoning Model Performance on Complex Medical Scenarios In The MMLU-Pro Benchmark. medRxiv, 2025-04. [PDF] Evaluating Large Reasoning Model Performance on Complex Medical Scenarios In The MMLU-Pro Benchmark | Semantic Scholar
  8. Sherif Mahmood, L.,Grove, T., Lucas, A., Martin, M., Deckers, C.,Palaganas, J. Nestel, D. (2025) Facilitators’ strategies for managing emotions during post simulation debrieng. Journal of Healthcare Simulation. https://www.researchgate.net/publication/401730669_Facilitators'_strategies_for_managing_emotions_during_post_simulation_debriefing
  9. Buleon, C., Szyld, D., Simon, R., Setnik, L., Eppich, W., Fey, M., Lipshaw, J., Palaganas, J., Rudolph, J. (2025). The Advocacy-Inquiry Rubric (AIR): A Standard to Build Debriefing and Feedback Skills. Advances in Simulation. https://doi.org/10.1186/s41077-025-00381-z

2026 Presentations

  1. Technology Forum AI + Simulation IMSH 2026
  2. Am I as good as AI in recognizing emotions in debriefing? IMSH 2026
  3. AI Unbound in Simulation: What Worked, What’s Emerging, What’s Next IMSH 2026
  4. How does AI understand us? Prompt Design for Healthcare Simulation IMSH 2026
  5. The Trial of AI: The People vs. Artificial Intelligence IMSH 2026
  6. Build Your Own GPT Model: From Concept to Deployment IMSH 2026

2025 Presentations

  1. Palaganas, J.C. & Obeidat, S. (2025). Proof-of-Concept for AI Integration in Healthcare Simulation VR. SESAM – European Simulation Society. Valencia, Spain.
  2. Palaganas, J. C., Maaz, S., Bajwa, M. (2025). How Does AI Understand Us? Prompt Engineering for Healthcare Simulation. International Meeting for Simulation in Healthcare. Orlando, FL.
  3. Palaganas, J. C., Bajwa, M. (2025). Reaching Into the Future: AI in Healthcare Simulation. International Meeting for Simulation in Healthcare. Orlando, FL.