A COMPARATIVE STUDY REGARDING THE PERCEPTION OF PHYSICAL THERAPIST AND PHYSICAL THERAPY STUDENTS ABOUT USABILITY OF ARTIFICIAL INTELLIGENCE CHATBOT I.E, OPENAI-CHATGPT FOR THE RETRIEVAL OF INFORMATION IN ACADEMIC AND CLINICAL SETTINGS

Authors

  • SAB SHAHZAD School of Health Sciences, UMT, Lahore, Pakistan
  • I SHAHID School of Health Sciences, UMT, Lahore, Pakistan
  • M NOUMAN School of Health Sciences, UMT, Lahore, Pakistan
  • R ANIS School of Health Sciences, UMT, Lahore, Pakistan
  • S ASIF The University Institute of Physical Therapy (UIPT) University of Lahore, Pakistan
  • MU KHAN School of Health Sciences, UMT, Lahore, Pakistan

DOI:

https://doi.org/10.54112/bcsrj.v2024i1.973

Keywords:

AI (Artificial Intelligence), Physiotherapists/Physical therapists, Physiotherapy students/Physical therapy students, ChatGPT, Chatbot

Abstract

In the modern era dominated by technological advancements, artificial intelligence (AI) has transcended the realm of science fiction to become a pivotal aspect of various fields, including health sciences. AI innovations like ChatGPT, an AI-based chatbot, have sparked discussions regarding their practical applications in healthcare and academia. Objectives: The primary objective of this study was to assess and compare the perceptions of physical therapists and physical therapy students regarding the usability of ChatGPT for information retrieval in academic and clinical settings. Method: A cross-sectional study design was employed. The sample size, calculated to be 176 using G*Power analysis, was equally divided into two groups: 88 physical therapists and 88 physical therapy students. Data collection was conducted via Google Forms and manual questionnaires. Result: Out of the respondents, 39 (47.6%) physical therapy students and 43 (52.4%) physical therapists reported that they perceived ChatGPT and related AI technologies as effective tools for enhancing job performance and academic studies. Additionally, 49 physical therapy students and 52 physical therapists found AI chatbots easy to use. However, statistical analysis revealed no significant difference (p > 0.05) in the perceptions of usability between the two groups. Conclusion: The study concluded that physical therapists and physical therapy students share similar perceptions regarding the usability of AI chatbots like ChatGPT for information retrieval in clinical and academic settings. A significant majority of both groups acknowledged the potential benefits of these technologies, highlighting their applicability in professional and educational environments.

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References

Sallam M, editor ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare; 2023: MDPI.

Kaul V, Enslin S, Gross SA. History of artificial intelligence in medicine. Gastrointestinal endoscopy. 2020;92(4):807-12.

Sassis L, Kefala-Karli P, Sassi M, Zervides C. Exploring medical students' and faculty's perception on artificial intelligence and robotics. A questionnaire survey. Journal of Artificial Intelligence for Medical Sciences. 2021;2(1-2):76-84.

Ahmed Z, Bhinder KK, Tariq A, Tahir MJ, Mehmood Q, Tabassum MS, et al. Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey. Annals of Medicine and Surgery. 2022;76:103493.

Aggarwal A, Tam CC, Wu D, Li X, Qiao S. Artificial intelligence–based chatbots for promoting health behavioral changes: Systematic review. Journal of medical Internet research. 2023;25:e40789.

Hill-Yardin EL, Hutchinson MR, Laycock R, Spencer SJ. A Chat (GPT) about the future of scientific publishing. Brain, behavior, and immunity. 2023;110:152-4.

Cascella M, Montomoli J, Bellini V, Bignami E. Evaluating the feasibility of ChatGPT in healthcare: an analysis of multiple clinical and research scenarios. Journal of medical systems. 2023;47(1):33.

Asch DA. An interview with ChatGPT about health care. NEJM Catalyst Innovations in Care Delivery. 2023;4(2).

Tran V-T, Riveros C, Ravaud P. Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort. NPJ digital medicine. 2019;2(1):53.

Lee H. The rise of ChatGPT: Exploring its potential in medical education. Anatomical sciences education. 2023.

Parikh PM, Talwar V, Goyal M. ChatGPT: An online cross-sectional descriptive survey comparing perceptions of healthcare workers to those of other professionals. Cancer Research, Statistics, and Treatment. 2023;6(1):32-6.

Sosale B, Aravind SR, Murthy H, Narayana S, Sharma U, Gowda SG, et al. Simple, mobile-based artificial intelligence algorithm in the detection of diabetic retinopathy (SMART) study. BMJ Open Diabetes Research and Care. 2020;8(1):e000892.

Li J, Dada A, Kleesiek J. Jan Egger ChatGPT in Healthcare: A Taxonomy and Systematic Review medRxiv 2023.03. 30.23287899. Posted March. 2023;30.

Ho WLJ, Koussayer B, Sujka J. ChatGPT: Friend or foe in medical writing? An example of how ChatGPT can be utilized in writing case reports. Surgery in Practice and Science. 2023;14:100185.

Tariverdiyeva G. Chatbots’ Perceived Usability in Information Retrieval Tasks: An Exploratory Analysis. 2019.

Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nature biotechnology. 2019;37(8):852-7.

To QG, Green C, Vandelanotte C. Feasibility, Usability, and Effectiveness of a Machine Learning–Based Physical Activity Chatbot: Quasi-Experimental Study. JMIR mHealth and uHealth. 2021;9(11):e28577.

Biswas S. ChatGPT and the future of medical writing. Radiological Society of North America; 2023. p. e223312.

Shinners L, Grace S, Smith S, Stephens A, Aggar C. Exploring healthcare professionals’ perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool. Digital Health. 2022;8:20552076221078110.

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Published

2024-07-04

How to Cite

SHAHZAD, S., SHAHID, I., NOUMAN, M., ANIS, R., ASIF, S., & KHAN, M. (2024). A COMPARATIVE STUDY REGARDING THE PERCEPTION OF PHYSICAL THERAPIST AND PHYSICAL THERAPY STUDENTS ABOUT USABILITY OF ARTIFICIAL INTELLIGENCE CHATBOT I.E, OPENAI-CHATGPT FOR THE RETRIEVAL OF INFORMATION IN ACADEMIC AND CLINICAL SETTINGS. Biological and Clinical Sciences Research Journal, 2024(1), 973. https://doi.org/10.54112/bcsrj.v2024i1.973

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