Artificial intelligence for optimizing otologic surgical video: effects of video inpainting and stabilization on microscopic view
Surgical videos using video inpainting and stabilization techniques with AI were beneficial for educating trainees, especially participants with less anatomical knowledge and surgical experience.
Authors
- Namkug Kim (ORCID: https://orcid.org/0000-0002-3438-2217)
- Seung Cheol Ha (ORCID: https://orcid.org/0000-0003-0949-0838)
- Young Hyun Yun
- Jong Woo Chung (ORCID: https://orcid.org/0000-0003-0765-9134)
- Hye Ah Joo (ORCID: https://orcid.org/0000-0002-2830-2145)
- Jun-Sik Kim (ORCID: https://orcid.org/0000-0003-3810-8474)
- Kanggil Park
- Dong Kyu Lee (ORCID: https://orcid.org/0000-0001-7451-8118)
Institutions
- Ulsan College (KR)
- Asan Medical Center (KR)
- University of Ulsan (KR)
Publication Details
- Journal
- Acta Oto-Laryngologica
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1080/00016489.2024.2435448
- Primary Topic
- Image and Video Stabilization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Korea Health Industry Development Institute
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion