TY  - JOUR
AU  - Duwe, G.
AU  - Moench, K.
AU  - Kauth, V.
AU  - Angeloni, M.
AU  - Eckhoff, J.
AU  - Görtz, M.
AU  - Hoefert, S.
AU  - Kocar, T. D.
AU  - Kollitsch, L.
AU  - Mehralivand, S.
AU  - Mercier, D.
AU  - Rudolph, J.
AU  - Rueckel, J.
AU  - Schönhof, R.
AU  - Sondermann, M.
AU  - von Klot, Caj
AU  - Zamzow, A.
AU  - Struck, J. P.
AU  - Borgmann, H.
TI  - Künstliche Intelligenz in chirurgischen Disziplinen: Einsatz, Nutzen und Potenzial – ein Delphi-Expertenkonsensus.
JO  - Die Urologie
VL  - nn
SN  - 2731-7064
CY  - New York]
PB  - Springer Medizin
M1  - DKFZ-2026-00259
SP  - nn
PY  - 2026
N1  - epub
AB  - Artificial intelligence (AI) in surgical disciplines has the potential to support all areas of patient care, with the goal of improving treatment quality and patient safety. A group of multidisciplinary experts discussed the current situation as well as steps required to successfully integrate AI into surgical disciplines in the context of a consensus conference at the second Digital Health Summit (Brandenburg an der Havel, Germany) in August 2024.A modified Delphi procedure was performed with 16 multidisciplinary physicians and scientists on the topic of AI in surgical disciplines and beyond. In two online meetings with subsequent Delphi survey rounds (LimeSurvey) and a final hybrid meeting, individual statements were contributed, discussed, and consented by all 16 participants based on current national clinical guidelines.From a total of 103 submitted statements, 36 statements on reality (n = 12), utopia (n = 13), and opportunities for digital transformation (n = 11) were consented after discussion and modification. We achieved a consensus of at least 75
KW  - Artificial intelligence (Other)
KW  - Delphi consensus conference (Other)
KW  - Digitalization (Other)
KW  - Legal framework (Other)
KW  - Surgery (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:41615435
DO  - DOI:10.1007/s00120-026-02778-8
UR  - https://inrepo02.dkfz.de/record/309609
ER  -