Artificial intelligence system for identification of overlooked lung metastasis in abdominopelvic computed tomography scans of patients with malignancy
The AI system can identify missed basal lung lesions in abdominopelvic CT scans in patients with malignancy, providing feedback to radiologists, which can reduce the risk of missing basal lung metastasis.
Authors
- Jaeyoun Yi (ORCID: https://orcid.org/0000-0002-7664-9493)
- Eui Jin Hwang (ORCID: https://orcid.org/0000-0002-3697-5542)
- B. Choi (ORCID: https://orcid.org/0009-0001-5409-7114)
- Hye Soo Cho (ORCID: https://orcid.org/0000-0001-8792-2363)
- Chang Min Park (ORCID: https://orcid.org/0000-0003-1884-3738)
Institutions
- New Generation University College (ET)
- Seoul National University Hospital (KR)
- Soft99 (Japan) (JP)
Publication Details
- Journal
- Diagnostic and Interventional Radiology
- Published
- 2024-09-09
- DOI
- https://doi.org/10.4274/dir.2024.242835
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of SMEs and Startups