AIMC Journal:
World journal of otorhinolaryngology - head and neck surgery

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Performance and reliability evaluation of an improved machine learning-based pure-tone audiometry with automated masking.

World journal of otorhinolaryngology - head and neck surgery
OBJECTIVE: Automated air-conduction pure-tone audiograms through Bayesian estimation and machine learning (ML) classification have recently been proposed in the literature. Although such ML-based audiometry approaches represent a significant addition...

Replicating Current Procedural Terminology code assignment of rhinology operative notes using machine learning.

World journal of otorhinolaryngology - head and neck surgery
OBJECTIVES: Documentation and billing are important and time-consuming parts of an otolaryngologist's work. Given advancements in machine learning (ML), we evaluated the ability of ML algorithms to use operative notes to classify rhinology procedures...