Performance of two different artificial intelligence models in dental implant planning among four different implant planning software: a comparative study.

Journal: BMC oral health
Published Date: Jul 2, 2025

Abstract

BACKGROUND: The integration of artificial intelligence (AI) in dental implant planning has emerged as a transformative approach to enhance diagnostic accuracy and efficiency. This study aimed to evaluate the performance of two object detection models, Faster R-CNN and YOLOv7 in analyzing cross-sectional and panoramic images derived from DICOM files processed by four distinct dental imaging software platforms.

Authors

  • Pathompong Roongruangsilp
    Center of Excellence for Dental Implantology, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand.
  • Walita Narkbuakaew
    National Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani, Thailand.
  • Pathawee Khongkhunthian
    Center of Excellence for Dental Implantology, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand. pathaweek@gmail.com.

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