A call to action: concerns related to artificial intelligence

      Artificial intelligence (AI) has become a popular topic of research in all specialties of dentistry. Deep learning algorithms using artificial neural networks and convolutional neural networks are specific subtypes of AI that have received particular attention. These models can process complex images such as dental radiographs and can be used to perform structural identification. They can also detect and classify some pathologic conditions. Neural networks rely on big data from large data sets to enhance their performance.
      • Tandon D
      • Rajawat J.
      Present and future of artificial intelligence in dentistry.
      Therefore, this technological advancement has created a new market for medical and dental data sets. As with any other innovative technology, research in AI has given rise to certain unintended technical and ethical consequences.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'


        • Tandon D
        • Rajawat J.
        Present and future of artificial intelligence in dentistry.
        J Oral Biol Craniofac Res. 2020; 10: 391-396
        • Edith Chan AW
        The shape of artificial intelligence: just a black box?.
        Chem Biol Drug Des. 2020; 96: 882-885
        • Mutasa S
        • Sun S
        • Ha R.
        Understanding artificial intelligence based radiology studies: what is overfitting?.
        Clin Imaging. 2020; 65: 96-99