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Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection.

Henri HartmanDenny NurdinSaiful AkbarArief CahyantoArlette Suzy Setiawan
Published in: International journal of paediatric dentistry (2024)
The potential of AI systems employing DL algorithms is highlighted in detecting dental anomalies in paediatric dentistry. Further research is needed to address limitations, explore additional anomalies and establish the broader applicability of AI in paediatric dentistry.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • intensive care unit
  • big data
  • emergency department
  • convolutional neural network
  • oral health
  • human health
  • risk assessment
  • climate change