Response to comments on 'Different 2D ultrasound calculation methods to evaluate tongue volume for prediction of difficult laryngoscopy'. [PDF]
Ohri R, Malhotra K.
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Evaluation of Point-of-care Ultrasound of Airway to Predict Difficult Laryngoscopy and Intubation in Intensive Care Unit Patients. [PDF]
Mallick S, Das S, Pradhan S, Kar S.
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Development and validation of a difficult laryngoscopy prediction model using machine learning of neck circumference and thyromental height. [PDF]
Kim JH +6 more
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The effectiveness of rapid sequence intubation (RSI) versus non-RSI in emergency department: an analysis of multicenter prospective observational study [PDF]
core +1 more source
Comparison between El-Ganzouri risk index and sonologically measured skin-to-epiglottis distance for predicting difficult laryngoscopy: A prospective observational study. [PDF]
Karimbanakkal F, Rajesh MC, Bau SH.
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Performance of machine learning models in predicting difficult laryngoscopy in the emergency department: a single-centre retrospective study comparing with conventional regression method. [PDF]
Srivilaithon W, Thanasarnpaiboon P.
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Preoperative X-ray C2C6AR is applicable for prediction of difficult laryngoscopy in patients with cervical spondylosis. [PDF]
Zhou Y +9 more
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A Comparison of Airway Ultrasound and Clinical Parameters for Predicting Difficult Laryngoscopy in the Emergency Department: A Study Protocol. [PDF]
Kadadi S, Gadkari C, Pundkar A.
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Radiological indicators and a novel combined predictive model for anticipating difficult laryngoscopy in cervical spondylosis patients: a prospective cohort study. [PDF]
Li J +10 more
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