Currently in the realm of medical diagnostics there is an abundance of data – more than can be analyzed by humans in a finite amount of time. Specifically in otolaryngology, there are numerous biophotonics imaging modalities used in a wide spectrum of disease processes from benign to malignant. Within the past decade, artificial intelligence (AI) has been an increasingly studied field as there is a need for accurate, expeditious, and automated data processing. However, application of AI in this field is still expanding. As AI can provide robust and automated processing, it can be integrated into the physicians’ toolbox.
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