ChatGPT- versus human-generated answers to frequently asked questions about diabetes: A Turing test-inspired survey among employees of a Danish diabetes center

Large language models have received enormous attention recently with some studies demonstrating their potential clinical value, despite not being trained specifically for this domain. We aimed to investigate whether ChatGPT, a language model optimized for dialogue, can answer frequently asked questi...

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Veröffentlicht in:	PloS one 2023-08, Vol.18 (8), p.e0290773
Hauptverfasser:	Hulman, Adam, Dollerup, Ole Lindgård, Mortensen, Jesper Friis, Fenech, Matthew E, Norman, Kasper, Støvring, Henrik, Hansen, Troels Krarup
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Beliefs, opinions and attitudes Biology and Life Sciences Chatbots Clinical trials Cluster Analysis Clustering Computation Computer and Information Sciences Data Collection Denmark - epidemiology Diabetes Diabetes mellitus Diabetes Mellitus - diagnosis Diabetes Mellitus - epidemiology Employees Evaluation Forecasts and trends Health care industry Health risks Health surveys Humans Innovations Language Large language models Logic Medical personnel Medicine and Health Sciences Patients Polls & surveys Power Professional ethics Professionals Questions Regression analysis Robustness (mathematics) Social Sciences Surveys Technology application
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