CareLit Fachartikel

On the utility of ChatGPT in conducting a literature review on deep learning for dopamine transporter SPECT with [¹²³I]ioflupane

Thomas Buddenkotte, Ivayla Ilieva Apostolova, Roland Opfer, Susanne Klutmann, Rickmer Braren · Nuklearmedizin - NuclearMedicine · 2026 · Heft 04 · S. 255-264

Dokument
985469
CareLit-ID
Jahr
2026
Publikation
PDF
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Metadaten
DOI
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Bibliografische Angaben

Zeitschrift
Nuklearmedizin - NuclearMedicine
Autor:innen
Thomas Buddenkotte, Ivayla Ilieva Apostolova, Roland Opfer, Susanne Klutmann, Rickmer Braren
Ausgabe
Heft 04 / 2026
Jahrgang 65
Seiten
255-264
Erschienen: 2026-08-01 00:00:00
ISSN
0029-5566

Zusammenfassung

Abstract Aim This study evaluated ChatGPT (GPT-5.2) for drafting a review paper on deep learning in dopamine transporter (DAT)-SPECT with [¹²³I]ioflupane. Methods The review workflow consisted of 3 steps: (i) literature search, (ii) generation of structured summaries with 24 predefined fields for each publication, and (iii) drafting a review paper based on the structured summaries across all publications. A detailed prompt for ChatGPT was iteratively designed for each step with ChatGPT support. A manual literature search was independently performed by an expert in DAT-SPECT and deep learning. ChatGPT-generated s…

Schlagworte

ChatGPT review deep learning SPECT dopamine transporter [¹²³I]ioflupane Nuklearmedizin - NuclearMedicine