Digital Otoscopy With Computer-Aided Composite Image Generation: Impact on the Correct Diagnosis, Confidence, and Time.

Seda CamalanCarl D LangefeldAmy ZinniaBrigham McKeeMatthew L CarlsonNicholas L DeepMichael S HarrisTaha A JanVivian F KaulNathan R LindquistJameson K MattinglyJay ShahKevin Y ZhanMetin N GurcanAaron C Moberly

Published in: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery (2024)

This study explores the potential of computer-assisted techniques like SelectStitch in enhancing otoscopic diagnoses and time-saving, which could benefit telemedicine settings. Comparable performance between computer-generated and manually selected images suggests the potential of AI algorithms for otoscopy applications.

Keyphrases

deep learning
artificial intelligence
machine learning
convolutional neural network
human health
optical coherence tomography
climate change