Publications by authors named "Niusha Zare"

Background: In recent years, artificial intelligence (AI) and deep learning (DL) have made a considerable impact in dentistry, specifically in advancing image processing algorithms for detecting caries from radiographical images. Despite this progress, there is still a lack of data on the effectiveness of these algorithms in accurately identifying caries. This study provides an overview aimed at evaluating and comparing reviews that focus on the detection of using DL algorithms from 2D radiographs.

View Article and Find Full Text PDF
Article Synopsis
  • Scientists are using artificial intelligence (AI) to help dentists find fractures in the jaw by looking at special X-ray images.
  • A study looked at many research papers and found that AI can be pretty good at spotting these fractures, but only five studies were reliable enough to include in this review.
  • The results show that while AI can be useful, there needs to be more research with bigger and different sets of X-ray images to make sure it works well in real dental offices.
View Article and Find Full Text PDF
Article Synopsis
  • Recent AI tools like ChatGPT are changing healthcare and education, and this study checked how well ChatGPT did on dental exam questions.
  • ChatGPT 3.5 and 4 were tested on various U.S. dental exams, showing good accuracy, especially ChatGPT 4, which did really well on the DAT exam.
  • Both versions handled most questions well, but they struggled with math questions, meaning there's room for improvement in that area.
View Article and Find Full Text PDF