Intraoperative detection of parathyroid glands using artificial intelligence: optimizing medical image training with data augmentation methods
This AI model was found to be an effective and generalizable tool in the intraoperative identification of parathyroid glands during thyroidectomy, especially when aided by appropriate augmentation methods. Additional studies comparing model performance and surgeon identification, however, are needed to assess the true clinical relevance of this AI model.
Authors
- Kwang Gi Kim (ORCID: https://orcid.org/0000-0001-9714-6038)
- Yoo Seung Chung (ORCID: https://orcid.org/0000-0001-9912-051X)
- Young Jae Kim (ORCID: https://orcid.org/0000-0003-0443-0051)
- Joon‐Hyop Lee (ORCID: https://orcid.org/0000-0003-0470-7719)
- EunKyung Ku
Institutions
- Gachon University (KR)
- Samsung Medical Center (KR)
- Gachon University Gil Medical Center (KR)
- Catholic University of Korea (KR)
Publication Details
- Journal
- Surgical Endoscopy
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1007/s00464-024-11115-z
- Citations
- 6
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Research Foundation
- National Research Foundation of Korea