TY - JOUR
T1 - Using ChatGPT to Generate Research Ideas in Dysphagia
T2 - A Pilot Study
AU - Nachalon, Yuval
AU - Broer, Maya
AU - Nativ-Zeltzer, Nogah
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
PY - 2024/6
Y1 - 2024/6
N2 - 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.
AB - 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.
KW - ChatGPT
KW - Clinical relevance
KW - Dysphagia
KW - Machine learning
KW - Natural language processing (NLP)
KW - Research ideas
UR - http://www.scopus.com/inward/record.url?scp=85175313771&partnerID=8YFLogxK
U2 - 10.1007/s00455-023-10623-9
DO - 10.1007/s00455-023-10623-9
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C2 - 37907728
AN - SCOPUS:85175313771
SN - 0179-051X
VL - 39
SP - 407
EP - 411
JO - Dysphagia
JF - Dysphagia
IS - 3
ER -