Age assessment through root lengths of mandibular second and third permanent molars using machine learning and artificial neural networks

HIGHLIGHTS

• who: Vathsala Patil et al. from the Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India Department of Biomedical Dental Sciences, College of Dentistry, Imam Abdulrahman Bin Faisal University have published the research work: Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks, in the Journal: (JOURNAL) of 10/Nov/2022
• what: This study explores the efficacy of Machine Learning and Artificial Neural Networks in age assessment using the root length of the second . . .
  

   

  

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