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Automated Generation of Personalized Shock Wave Lithotripsy Protocols: Treatment Planning Using Deep Learning.

Zhipeng ChenDaniel Dajun ZengRyan G N SeltzerBlake D Hamilton
Published in: JMIR medical informatics (2021)
The high performance of our deep learning approach shows its treatment planning capability on par with top physicians. To the best of our knowledge, our framework is the first effort to implement automated planning of SWL treatment via deep learning. It is a promising technique in assisting treatment planning and physician training at low cost.
Keyphrases
  • deep learning
  • low cost
  • artificial intelligence
  • primary care
  • convolutional neural network
  • machine learning
  • emergency department
  • healthcare