An Assessment to Test the Ability of ChatGPT 3.5 to Solve the Clinical Cases in National Physical Therapy Examination (NPTE)

Authors

  • Shivaranjani Balamurugan Department of Physiotherapy, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai – 600 123, Tamil Nadu, India.
  • Krishna Mohan Surapaneni Department of Biochemistry, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai – 600 123, Tamil Nadu, India. Department of Medical Education, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai – 600 123, Tamil Nadu, India. E-mail: krishnamohan.surapaneni@gmail.com

Abstract

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Keywords:

Medical Education, Large language model, ChatGPT, physiotherapy, Generative A.I., Evaluation.

DOI

https://doi.org/10.15621/ijphy/2024/v11i3/1462

Published

09.09.2024
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Issue

Volume 11, Issue 3, 2024

Section

Original Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright © Author(s) retain the copyright of this article.

How to Cite

An Assessment to Test the Ability of ChatGPT 3.5 to Solve the Clinical Cases in National Physical Therapy Examination (NPTE). (2024). International Journal of Physiotherapy, 11(3), 34-35. https://doi.org/10.15621/ijphy/2024/v11i3/1462
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