Deep Learning-Based Model for Breast Implant Classification in Ultrasonography: A Multi-Institutional Model Development and Validation Study
By automating the identification process, this tool alleviates the reliance on specialized training among plastic surgeons regarding breast ultrasound, streamlining patient care. Despite limitations, the model shows promise for improving clinical workflows and patient outcomes.
Authors
- Jae Hee Cho (ORCID: https://orcid.org/0000-0003-4174-0091)
- Hyoun‐Joong Kong (ORCID: https://orcid.org/0000-0001-5456-4862)
- Hyokyung Yoo (ORCID: https://orcid.org/0000-0002-9171-0379)
- Hak Chang (ORCID: https://orcid.org/0000-0002-9888-1787)
- Ki Yong Hong (ORCID: https://orcid.org/0000-0002-8579-0237)
- Sungwan Kim (ORCID: https://orcid.org/0000-0002-9318-849X)
- Seoi Jeong (ORCID: https://orcid.org/0009-0009-3047-2889)
Institutions
- Seoul National University (KR)
- Seoul National University Hospital (KR)
Publication Details
- Journal
- Aesthetic Surgery Journal
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1093/asj/sjaf220
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00