Ai-based detection of aspiration for video-endoscopy with visual aids in meaningful frames to interpret the model outcome

HIGHLIGHTS

• who: Ju00fcrgen Konradi and colleagues from the Institute of Physical Therapy, Prevention and Rehabilitation, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany have published the research work: AI-Based Detection of Aspiration for Video-Endoscopy with Visual Aids in Meaningful Frames to Interpret the Model Outcome, in the Journal: Sensors 2022, 9468 of /2022/
• what: The aim was to train the model on a sample of videos that reasonably covered the expected variability occurring during practical application. Regarding the accuracy of the segmentation of anatomical structures, the authors obtained 12 of 17 . . .
  

   

  

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