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

Hulman, Adam; Dollerup, Ole Lindgård; Mortensen, Jesper Friis; Fenech, Matthew E; Norman, Kasper; Støvring, Henrik; Hansen, Troels Krarup

Hulman, Adam; Dollerup, Ole Lindgård; Mortensen, Jesper Friis; Fenech, Matthew E; Norman, Kasper; Støvring, Henrik; Hansen, Troels Krarup.

Affiliation

Hulman A; Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
Dollerup OL; Department of Public Health, Aarhus University, Aarhus, Denmark.
Mortensen JF; Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
Fenech ME; Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
Norman K; Department of Public Health, Aarhus University, Aarhus, Denmark.
Støvring H; Una Health GmbH, Hamburg, Germany.
Hansen TK; Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.

PLoS One ; 18(8): e0290773, 2023.

Article in En | MEDLINE | ID: mdl-37651381

Subject(s)

Diabetes Mellitus; Humans; Data Collection; Diabetes Mellitus/diagnosis; Diabetes Mellitus/epidemiology; Cluster Analysis; Language; Denmark/epidemiology

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Denmark Country of publication: United States

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