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Prediction of risk factors for pharyngo-cutaneous fistula after total laryngectomy using artificial intelligence.

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第一作者： Nayeon,Choi

第一单位： Department of Otorhinolaryngology, Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

作者： Nayeon,Choi ^[1] ; Zero,Kim ^[2] ; Bok Hyun,Song ^[1] ; Woori,Park ^[1] ; Myung Jin,Chung ^[3] ; Baek Hwan,Cho ^[4] ; Young-Ik,Son ^[5]

作者单位： Department of Otorhinolaryngology, Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. ^[1] Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea. ^[2] Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea; Department of Radiology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul 135-710, Republic of Korea. ^[3] Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea; Department of Medical Device Management and Research, SAIHST, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea. ^[4] Department of Otorhinolaryngology, Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. Electronic address: yison@skku.edu. ^[5]

关键词 Artificial intelligence Fistula Logistic regression Total laryngectomy