An artificial neural network approach for rational decision-making in borderline orthodontic cases: A preliminary analytical observational in silico study.

Journal: Journal of orthodontics
PMID: 37148164

Abstract

INTRODUCTION: Artificial intelligence (AI) technology has transformed the way healthcare functions in the present scenario. In orthodontics, expert systems and machine learning have aided clinicians in making complex, multifactorial decisions. One such scenario is an extraction decision in a borderline case.

Authors

  • Shanya Kapoor
    Department of Orthodontics and Dentofacial, Hitkarini Dental College and Hospital, Jabalpur, Madhya Pradesh, India.
  • Tarulatha R Shyagali
    Department of Orthodontics and Dentofacial, MR Ambedkar Dental College and Hospital, Bangalore, Karnataka, India.
  • Amit Kuraria
    Department of Computer Sciences, Rabindranath Tagore University, Bhopal, Madhya Pradesh, India.
  • Abhishek Gupta
    Academy of Scientific and Innovative Research (AcSIR), New Delhi, India. abhishekgupta10@yahoo.co.in.
  • Anil Tiwari
    Department of Orthodontics and Dentofacial, Hitkarini Dental College and Hospital, Jabalpur, Madhya Pradesh, India.
  • Payal Goyal
    Department of Orthodontics and Dentofacial, Hitkarini Dental College and Hospital, Jabalpur, Madhya Pradesh, India.

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