Medical data science in rhinology: Background and implications for clinicians.
Journal:
American journal of otolaryngology
Published Date:
Jan 1, 2020
Abstract
BACKGROUND: An important challenge of big data is using complex information networks to provide useful clinical information. Recently, machine learning, and particularly deep learning, has enabled rapid advances in clinical practice. The application of artificial intelligence (AI) and machine learning (ML) in rhinology is an increasingly relevant topic.