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Algorithm-Driven Tele-otoscope for Remote Care for Patients With Otitis Media.

Te-Yung FangTse-Yu LinChung-Min ShenSu-Yi HsuShing-Huey LinYu-Jung KuoMing-Hsu ChenTan-Kuei YinChih-Hsien LiuMen-Tzung LoPa-Chun Wang
Published in: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery (2024)
Our study demonstrated that the developed tele-otoscope has acceptable accuracy in diagnosing OM. This system can assist health care professionals in early detection and continuous remote monitoring, thus mitigating the consequences of OM.
Keyphrases
  • healthcare
  • palliative care
  • machine learning
  • deep learning
  • quality improvement
  • affordable care act
  • pain management
  • chronic pain