Implementation of an AI Algorithm in Clinical Practice to Reduce Missed Incidental Pulmonary Embolisms on Chest CT and Its Impact on Short-Term Survival
The implementation of an AI algorithm significantly reduced the rate of missed iPEs from 50% to 7.1%, thereby enhancing diagnostic accuracy. Despite this improvement, the 90-day mortality rate remained unchanged. These findings highlight the AI tool's potential to assist radiologists in accurately identifying iPEs, although its implementation does not significantly affect short-term survival. Notably, most missed iPEs were located in the right lower lobe, suggesting that radiologists should pay particular attention to this area during evaluations.
Authors
- Felice Burn (ORCID: https://orcid.org/0000-0002-4362-162X)
- Andres Spirig
- Philipp Schüetz (ORCID: https://orcid.org/0000-0001-6400-4949)
- Sebastian T. Schindera (ORCID: https://orcid.org/0000-0002-1890-1945)
- Simin Laures
- Tician Schnitzler (ORCID: https://orcid.org/0000-0001-7278-1406)
- Hasan Zaytoun
- Vera Inka Josephin Graeve
- Claudia Gregoriano
Institutions
- Kantonsspital Aarau (CH)
Publication Details
- Journal
- Investigative Radiology
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1097/rli.0000000000001122
- Citations
- 8
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 4.39