Deep Learning-Based Adrenal Gland Volumetry for the Prediction of Diabetes
AGV, measured using deep learning algorithms, is associated with current glycemic status and can significantly predict the development of T2D.
Authors
- Seung Shin Park (ORCID: https://orcid.org/0000-0001-5719-1539)
- Soon Ho Yoon (ORCID: https://orcid.org/0000-0002-3700-0165)
- Eu Jeong Ku (ORCID: https://orcid.org/0000-0001-5533-4989)
- Ji Won Yoon (ORCID: https://orcid.org/0000-0001-9003-0614)
- Jung Hee Kim (ORCID: https://orcid.org/0000-0003-2282-5524)
Institutions
- Seoul National University (KR)
- Seoul National University Hospital (KR)
Publication Details
- Journal
- Endocrinology and Metabolism
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3803/enm.2025.2336
- Primary Topic
- Diet and metabolism studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- Korea Health Industry Development Institute
- Ministry of Science and ICT, South Korea