Anatomical recognition artificial intelligence for identifying the recurrent laryngeal nerve during endoscopic thyroid surgery: A single‐center feasibility study

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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Bibliographic Details
Main Authors: Yukio Nishiya, Kazuto Matsuura, Tateo Ogane, Kazuyuki Hayashi, Yumi Kinebuchi, Hirotaka Tanaka, Wataru Okano, Toshifumi Tomioka, Takeshi Shinozaki, Ryuichi Hayashi
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Laryngoscope Investigative Otolaryngology
Subjects:
artificial intelligence
deep learning
endoscopic thyroid surgery
recurrent laryngeal nerve
thyroidectomy
Online Access:https://doi.org/10.1002/lio2.70049
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https://doi.org/10.1002/lio2.70049

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