LLM-Based Extraction of Imaging Features from Radiology Reports: Automating Disease Activity Scoring in Crohn's Disease

Dehdab, Reza; Mankertz, Fiona; Brendel, Jan Michael; Maalouf, Nour; Kaya, Kenan; Afat, Saif; Kolahdoozan, Shadi; Radmard, Amir Reza

dc.contributor.author	Dehdab, Reza
dc.contributor.author	Mankertz, Fiona
dc.contributor.author	Brendel, Jan Michael
dc.contributor.author	Maalouf, Nour
dc.contributor.author	Afat, Saif
dc.date.accessioned	2026-05-19T13:55:11Z
dc.date.available	2026-05-19T13:55:11Z
dc.date.issued	2025
dc.identifier.issn	1076-6332
dc.identifier.uri	http://hdl.handle.net/10900/179745
dc.language.iso	en	de_DE
dc.publisher	New York : Elsevier Science Inc	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.acra.2025.07.041	de_DE
dc.subject.ddc	610	de_DE
dc.title	LLM-Based Extraction of Imaging Features from Radiology Reports: Automating Disease Activity Scoring in Crohn's Disease	de_DE
dc.type	Article	de_DE
utue.quellen.id	20251118000000_00413
utue.publikation.seiten	5869-5877	de_DE
utue.personen.roh	Dehdab, Reza
utue.personen.roh	Mankertz, Fiona
utue.personen.roh	Brendel, Jan Michael
utue.personen.roh	Maalouf, Nour
utue.personen.roh	Kaya, Kenan
utue.personen.roh	Afat, Saif
utue.personen.roh	Kolahdoozan, Shadi
utue.personen.roh	Radmard, Amir Reza
dcterms.isPartOf.ZSTitelID	Academic Radiology	de_DE
dcterms.isPartOf.ZS-Issue	10	de_DE
dcterms.isPartOf.ZS-Volume	32	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE