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Utilizing an artificial intelligence framework (conditional generative adversarial network) to enhance telemedicine strategies for cancer pain management.

Marco CascellaGiuliana ScarpatiElena Giovanna BignamiArturo CuomoAlessandro VittoriPiergiacomo Di GennaroAnna CrispoSergio Coluccia
Published in: Journal of Anesthesia, Analgesia and Critical Care (Online) (2023)
As the advancement of healthcare processes relies on scientific evidence, AI techniques such as GANs can play a vital role in bridging knowledge gaps and accelerating the integration of telemedicine into clinical practice. Nonetheless, it is crucial to carefully address the limitations of these approaches.
Keyphrases
  • artificial intelligence
  • pain management
  • healthcare
  • clinical practice
  • machine learning
  • big data
  • deep learning
  • papillary thyroid
  • chronic pain
  • squamous cell
  • lymph node metastasis
  • childhood cancer
  • affordable care act