Anatomical recognition artificial intelligence for identifying the recurrent laryngeal nerve during endoscopic thyroid surgery: A single‐center feasibility study
Abstract Background We investigate the feasibility of using artificial intelligence (AI) to identify the recurrent laryngeal nerve (RLN) during endoscopic thyroid surgery and evaluated its accuracy. Methods In this retrospective study, we develop an AI model using a dataset of endoscopic thyroid sur...
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| Main Authors: | Yukio Nishiya, Kazuto Matsuura, Tateo Ogane, Kazuyuki Hayashi, Yumi Kinebuchi, Hirotaka Tanaka, Wataru Okano, Toshifumi Tomioka, Takeshi Shinozaki, Ryuichi Hayashi |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | Laryngoscope Investigative Otolaryngology |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/lio2.70049 |
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