External validation of a commercial AI system for pulmonary embolism detection on chest CTPA: a multicenter study
Integration of AI with manual interpretation improves pulmonary embolism detection accuracy and reduces reading time, supporting its implementation to optimize clinical workflow and patient outcomes.
Authors
- Maimaitiaili Tuerxun
- Aikebaierjiang Ainiwaer
- Saimaitikari Abudoubari
- Abudouresuli Tuersun
- Ya Qiu (ORCID: https://orcid.org/0009-0004-9233-8996)
- Ailiyaerjiang Aisika
- Mireayi Tudi
- Yuwei Xia
- Adilijiang Abula
- Xierenayi Waresi
- Palidanmu Wumaier
- Nuermaimaijiang Abudouwufu
Institutions
- University of Kashmir (IN)
- Xinjiang Medical University (CN)
- County Hospital (GB)
- United Imaging Healthcare (China) (CN)
- Kashi University (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Frontiers in Molecular Biosciences
- Published
- 2026-03-11
- DOI
- https://doi.org/10.3389/fmolb.2026.1774152
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Xinjiang