An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.
We showed that an AI algorithm for the automatic detection of ICHs can be seamlessly integrated into clinical workflows with minimal turnaround time. The accuracy was on par with radiology experts, making the system suitable for routine clinical use.
Authors
- R. Sokiranski
- Lothar Spies (ORCID: https://orcid.org/0000-0002-5012-9406)
- Roland Opfer (ORCID: https://orcid.org/0000-0002-9911-5478)
- Ivana Galinović (ORCID: https://orcid.org/0000-0003-4904-8251)
- Kersten Villringer (ORCID: https://orcid.org/0000-0003-4192-9193)
- Michael Hamann (ORCID: https://orcid.org/0000-0002-6958-4927)
- Jochen B. Fiebach (ORCID: https://orcid.org/0000-0002-7936-6958)
- A. Bormann
- Moritz Brehmer
Institutions
- Jungheinrich (Germany) (DE)
- Klinikum Altenburger Land (DE)
- Center for HIV and Hepatogastroenterology (DE)
- Aptiv (Germany) (DE)
- Technische Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Clinical Neuroradiology
- Published
- 2024-09-26
- DOI
- https://doi.org/10.1007/s00062-024-01461-9
- Citations
- 4
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 1.48
Funders
- Charité – Universitätsmedizin Berlin