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Using ChatGPT to Generate Research Ideas in Dysphagia: A Pilot Study

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Abstract

Current research in dysphagia faces challenges due to the rapid growth of scientific literature and the interdisciplinary nature of the field. To address this, the study evaluates ChatGPT, an AI language model, as a supplementary resource to assist clinicians and researchers in generating research ideas for dysphagia, utilizing recent advancements in natural language processing and machine learning. The research ideas were generated through ChatGPT's command to explore diverse aspects of dysphagia. A web-based survey was conducted, 45 dysphagia experts were asked to rank each study on a scale of 1 to 5 according to feasibility, novelty, clinical implications, and relevance to current practice. A total of 26 experts (58%) completed the survey. The mean (± sd) rankings of research ideas were 4.03 (± 0.17) for feasibility, 3.5 (± 0.17) for potential impact on the field, 3.84 (± 0.12) for clinical relevance, and 3.08 (± 0.36) for novelty and innovation. Results of this study suggest that ChatGPT offers a promising approach to generating research ideas in dysphagia. While its current capability to generate innovative ideas appears limited, it can serve as a supplementary resource for researchers.

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References

  1. Serra-Prat M, Palomera M, Gomez C, Sar-Shalom D, Saiz A, Montoya JG, et al. Oropharyngeal dysphagia as a risk factor for malnutrition and lower respiratory tract infection in independently living older persons: a population-based prospective study. Age Ageing. 2012;41:376–81.

    Article  PubMed  Google Scholar 

  2. Namasivayam AM, Steele CM. Malnutrition and dysphagia in long-term care: a systematic review. J Nutr Gerontol Geriatr. 2015;34:1–21.

    Article  PubMed  Google Scholar 

  3. Clavé P, Rofes L, Carrión S, Ortega O, Cabré M, Serra-Prat M, et al. Pathophysiology, relevance and natural history of oropharyngeal dysphagia among older people. Nestle Nutr Inst Workshop Ser. 2012;72:57–66.

    Article  PubMed  Google Scholar 

  4. Van den Engel-Hoek L, Harding C, van Gerven M, Cockerill H. Pediatric feeding and swallowing rehabilitation: An overview. Journal of pediatric rehabilitation medicine. 2017;10(2):95–105. https://doi.org/10.3233/PRM-170435.

    Article  PubMed  Google Scholar 

  5. Mattick K, Johnston J, de la Croix A. How to…write a good research question. Clin Teach. 2018;15:104–8.

    Article  PubMed  Google Scholar 

  6. Ness RB. Promoting innovative thinking. Am J Public Health. 2015;105:S114–8.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Radford A, Wu J, Child R, Luan D, Amodei D, Sutskever I. Language models are unsupervised multitask learners. 2019. https://www.semanticscholar.org/paper/Language-Models-are-Unsupervised-Multitask-Learners-Radford-Wu/9405cc0d6169988371b2755e573cc28650d14dfe

  8. Language models are few-shot learners. In: Proceedings of the 34th international conference on neural information processing systems. https://doi.org/10.5555/3495724.3495883

  9. Else H. Abstracts written by ChatGPT fool scientists. Nature. 2023;613:423.

    Article  CAS  PubMed  Google Scholar 

  10. Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare (Basel). 2023;11:887.

    Article  PubMed  Google Scholar 

  11. Park J-Y. Could ChatGPT help you to write your next scientific paper? Concerns on research ethics related to usage of artificial intelligence tools. J Korean Assoc Oral Maxillofac Surg. 2023;49:105–6.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Kung TH, Cheatham M, Medenilla A, Sillos C, De Leon L, Elepaño C, et al. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models. PLOS Digit Health. 2023;2:e0000198.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Zhavoronkov A. Rapamycin in the context of Pascal’s Wager: generative pre-trained transformer perspective. Oncoscience. 2022;9:82–4.

    Article  PubMed  PubMed Central  Google Scholar 

  14. O’Connor S. Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse? Nurse Educ Pract. 2023;66:103537.

    Article  PubMed  Google Scholar 

  15. Pagnamenta E, Longhurst L, Breaks A, Chadd K, Kulkarni A, Bryant V, et al. Research priorities to improve the health of children and adults with dysphagia: a National Institute of Health Research and Royal College of Speech and Language Therapists research priority setting partnership. BMJ Open. 2022;12:e049459.

    Article  PubMed  PubMed Central  Google Scholar 

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No funding was secured for this study.

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Authors and Affiliations

  1. Department of Otolaryngology, Head and Neck Surgery and Maxillofacial Surgery, Tel-Aviv Sourasky Medical Center, 6 Weizman Street, 6423906, Tel-Aviv, Israel

    Yuval Nachalon

  2. Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

    Yuval Nachalon, Maya Broer & Nogah Nativ-Zeltzer

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  1. Yuval Nachalon
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  2. Maya Broer
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  3. Nogah Nativ-Zeltzer
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Correspondence to Yuval Nachalon.

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Nachalon, Y., Broer, M. & Nativ-Zeltzer, N. Using ChatGPT to Generate Research Ideas in Dysphagia: A Pilot Study. Dysphagia (2023). https://doi.org/10.1007/s00455-023-10623-9

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