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Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation.

Masao NodaHidekane YoshimuraTakuya OkuboRyota KoshuYuki UchiyamaAkihiro NomuraMakoto ItoYutaka Takumi
Published in: JMIR AI (2024)
Despite its advantages, challenges such as data privacy and ethical considerations must be addressed. Overall, this study underscores the potential of multimodal AI for enhancing diagnostic accuracy and improving patient care in otolaryngology. Further research is warranted to optimize and validate this approach in diverse clinical settings.
Keyphrases
  • artificial intelligence
  • big data
  • machine learning
  • deep learning
  • pain management
  • electronic health record
  • healthcare
  • health information
  • risk assessment