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Cost-Effective Smartphone-Based Articulable Endoscope Systems for Developing Countries: Instrument Validation Study.

Youngjin MoonJeongmin OhJaeho HyunYoungkyu KimJaesoon ChoiJung-Man NamgoongJun Ki Kim
Published in: JMIR mHealth and uHealth (2020)
The portable wide-field endoscope was successfully controlled using a smartphone, yielding clear images with a resolution of 960 × 720 pixels at realistic focal distances. Actively and precisely controlled articulating movements have resulted in minimally invasive monitoring in the narrow space of internal organs providing a wide-area view. We found our smartphone-based active articulated endoscope to be suitable for point-of-care applications in developing and less developed countries.
Keyphrases
  • minimally invasive
  • deep learning
  • convolutional neural network
  • optical coherence tomography
  • machine learning
  • robot assisted