Recent Advances in the Application of Artificial Intelligence in Otorhinolaryngology-Head and Neck Surgery

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참고문헌 (131)

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106. Mermod M, "Development and validation of a multivariable prediction model for the identification of occult lymph node metastasis in oral squamous cell carcinoma", Head Neck, 42(8), pp.1811~1820 (2020)
107. Eric J. Formeister, "Machine Learning for Predicting Complications in Head and Neck Microvascular Free Tissue Transfer", The Laryngoscope, 130(12) (2020), Wiley[DOI]
108. Shew M, "Machine learning to predict delays in adjuvant radiation following surgery for head and neck cancer", Otolaryngol Head Neck Surg, 160(6), pp.1058~1064 (2019)
109. Bur AM, "Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma", Oral Oncol, 92, pp.20~25 (2019)
110. Kamogashira T, "Prediction of vestibular dysfunction by applying machine learning algorithms to postural instability", Front Neurol, 11, pp.7~ (2020)
111. Liu YW, "Transient-evoked otoacoustic emission signals predicting outcomes of acute sensorineural hearing loss in patients with Meniere’s disease", Acta Otolaryngol, 140(3), pp.230~235 (2020)
112. Luo J, "Unique clinical language patterns among expert vestibular providers can predict vestibular diagnoses", Otol Neurotol, 39(9), pp.1163~1171 (2018)
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117. Soler ZM, "Identification of chronic rhinosinusitis phenotypes using cluster analysis", Int Forum Allergy Rhinol, 5(5), pp.399~407 (2015)
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128. Morse JC, "Patterns of olfactory dysfunction in chronic rhinosinusitis identified by hierarchical cluster analysis and machine learning algorithms", Int Forum Allergy Rhinol, 9(3), pp.255~264 (2019)
129. Quon H, "Quantitative evaluation of head and neck cancer treatment-related dysphagia in the development of a personalized treatment deintensification paradigm", Int J Radiat Oncol Biol Phys, 99(5), pp.1271~1278 (2017)
130. Jochems A, "Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma", Radiat Oncol, 127, pp.S504~S505 (2018)
131. Bao T, "Automatically evaluating balance : a machine learning approach", IEEE Trans Neural Syst Rehabil Eng, 27(2), pp.179~186 (2019)

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