The Impact of a Neuroradiologist on the Report of a Real-World CT Perfusion Imaging Map Derived from Artificial Intelligence/Machine Learning–Driven Software
Neuroradiologists play an indispensable role in improving the reliability of CTP by interpreting and correcting AI-processed maps.
Authors
- Gianguido Lovullo
- A Pingi (ORCID: https://orcid.org/0000-0003-2551-7869)
- Filippo Pesapane (ORCID: https://orcid.org/0000-0002-0374-5054)
- Michele Galluzzo (ORCID: https://orcid.org/0000-0003-0876-2352)
- Valeria Cozzolino
- Catherine W. Piccoli
- Gianluca De Rubeis (ORCID: https://orcid.org/0000-0002-9567-6710)
- Enrico Pampana (ORCID: https://orcid.org/0000-0002-1419-1229)
- Edoardo Leone (ORCID: https://orcid.org/0000-0003-0739-7082)
- Luca Bertaccini (ORCID: https://orcid.org/0000-0001-5778-8968)
- Sebastiano Fabiano (ORCID: https://orcid.org/0000-0001-9954-6932)
- Margherita Federici
- Alessandro Stasolla (ORCID: https://orcid.org/0000-0002-7063-3642)
- Luca Saba (ORCID: https://orcid.org/0000-0003-3610-8526)
Institutions
- Azienda Ospedaliero-Universitaria Cagliari (IT)
- Nini Hospital (LB)
- Carlo Forlanini Hospital (IT)
- European Institute of Oncology (IT)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-08-22
- DOI
- https://doi.org/10.3174/ajnr.a8979
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00