Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study

Jonas Antonio Cittadino; Pia Traulsen; Teresa Schmahl; Larisa Wewetzer; Julia Cummerow; Kristina Flägel; Christoph Strumann; Katja Götz; Jost Steinhäuser

doi:10.2196/77707

Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study

Jonas Antonio Cittadino, Pia Traulsen, Teresa Schmahl, Larisa Wewetzer, Julia Cummerow, Kristina Flägel, Christoph Strumann, Katja Götz, Jost Steinhäuser

Institut für Allgemeinmedizin

Originalsprache	Englisch
Zeitschrift	JMIR Formative Research
DOIs	https://doi.org/10.2196/77707
Publikationsstatus	Veröffentlicht - 2025

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen

Dokumente

10.2196/77707

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title = "Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study",

author = "Cittadino, \{Jonas Antonio\} and Pia Traulsen and Teresa Schmahl and Larisa Wewetzer and Julia Cummerow and Kristina Fl{\"a}gel and Christoph Strumann and Katja G{\"o}tz and Jost Steinh{\"a}user",

year = "2025",

doi = "10.2196/77707",

language = "English",

journal = "JMIR Formative Research",

issn = "2561-326X",

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TY - JOUR

T1 - Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study

AU - Cittadino, Jonas Antonio

AU - Traulsen, Pia

AU - Schmahl, Teresa

AU - Wewetzer, Larisa

AU - Cummerow, Julia

AU - Flägel, Kristina

AU - Strumann, Christoph

AU - Götz, Katja

AU - Steinhäuser, Jost

PY - 2025

Y1 - 2025

U2 - 10.2196/77707

DO - 10.2196/77707

M3 - Journal articles

SN - 2561-326X

JO - JMIR Formative Research

JF - JMIR Formative Research

ER -