Copertina

Can chatGPT-4o reliably standardize PSMA PET/CT and PET/MRI reports using PROMISE V2 criteria?: an exploratory study

Structured reporting standardizes and facilitates reporting, improves accurate communication, and ultimately clinical decision-making. Although standardized frameworks such as PROMISE criteria are available for prostate-specific membrane antigen positron emission tomography (PSMA PET) for prostate c...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Autori principali: Hinterberger, Anna (Autore) , Mangold, Maurin Helen (Autore) , Weigel, Caroline (Autore) , Hartmann, Henri (Autore) , Nörenberg, Dominik (Autore) , Froelich, Matthias F. (Autore) , Ebner, Ricarda (Autore) , Haney, Caelán Max (Autore) , Kowalewski, Karl-Friedrich (Autore) , Schönberg, Stefan (Autore) , Grawe, Freba (Autore)
Natura: Article (Journal)
Lingua:inglese
Pubblicazione: 26 June 2026
In: EJNMMI Research
Year: 2026, Volume: 16, Pages: 1-12
ISSN:2191-219X
DOI:10.1186/s13550-026-01475-z
Accesso online:Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s13550-026-01475-z
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1186/s13550-026-01475-z
Testo
Note sull'autore:Anna Hinterberger, Maurin H. Mangold, Caroline Weigel, Henri Hartmann, Dominik Nörenberg, Matthias F. Froelich, Ricarda Ebner, Caelán Max Haney-Aubert, Karl-Friedrich Kowalewski, Stefan O. Schönberg and Freba Grawe
Descrizione
Riassunto:Structured reporting standardizes and facilitates reporting, improves accurate communication, and ultimately clinical decision-making. Although standardized frameworks such as PROMISE criteria are available for prostate-specific membrane antigen positron emission tomography (PSMA PET) for prostate cancer patients, free-text reporting remains predominant in both clinical routine and trials. Large language models (LLMs) may enable low-effort, time-efficient extraction of structured classifications from narrative reports. This study evaluated the performance of ChatGPT-4o for extracting PROMISE V2-based classifications from unstructured PSMA-PET/CT and PET/MRI reports.
Descrizione del documento:Gesehen am 22.07.2026
Descrizione fisica:Online Resource
ISSN:2191-219X
DOI:10.1186/s13550-026-01475-z

Documenti analoghi