Oral Biology and Oral Pathology Commons^™

Evaluation Of Dentistry Students' Perceptions And Attitudes Towards Artificial Intelligence In Kazakhstan, Yasin Yasa, Kubeisin Altynbekov, Nazgul Onaibekova

Journal of Dentistry Indonesia

Objective: Artificial intelligence’s (AI) potential to analyze medical data and improve patient outcomes is driving its rapid integration into healthcare systems. This study addresses the knowledge gap regarding Kazakhstani dental students’ attitudes toward AI in dentistry. Methods: A survey with 213 participants assessed dental students’ views on AI in dentistry at two Kazakhstani universities. A self-administered questionnaire (22 items) via Google Forms was used to gather data on demographics, baseline knowledge (information sources, understanding of AI principles, and familiarity with dental AI applications), and attitudes/perceptions. Frequency analyses and chi-square tests (p < 0.05) explored the responses. Results: The survey included 213 dental students (mean …

Visual Artificial Intelligence In Healthcare: A Revolution In Making, Sanjay S. Rao, Punnya. V. Angadi

Indian Journal of Health Sciences and Biomedical Research KLEU

Visual artificial intelligence (AI) is a branch of computer science that teaches robots to understand images and visual information similarly to how humans do. According to the algorithm's development, visual AI allows robots to do more than just perceive; it also allows them to understand and sense the meaning behind images. Because of the enormous progress made in this area, computers are now able to recognize and interpret images more accurately than humans. From managing medical data to enhancing care delivery through AI-assisted diagnosis, visual AI has a broad impact on healthcare. By building devices and tools that can learn, …

Head And Neck Tumor Histopathological Image Representation With Pre- Trained Convolutional Neural Network And Vision Transformer, Ranny Rahaningrum Herdiantoputri, Daisuke Komura, Tohru Ikeda, Shumpei Ishikawa

Journal of Dentistry Indonesia

Image representation via machine learning is an approach to quantitatively represent histopathological images of head and neck tumors for future applications of artificial intelligence-assisted pathological diagnosis systems. Objective: This study compares image representations produced by a pre-trained convolutional neural network (VGG16) to those produced by a vision transformer (ViT-L/14) in terms of the classification performance of head and neck tumors. Methods: W hole-slide images of five oral t umor categories (n = 319 cases) were analyzed. Image patches were created from manually annotated regions at 4096, 2048, and 1024 pixels and rescaled to 256 pixels. Image representations were …

N Y State Dent J August-September 2022

The New York State Dental Journal

In the August-September 2022 issue, the reader will find the following feature articles:

• Maxillary Sinus Foreign Body From an Unusual Source: Provisional Prosthesis Material
• Antihypertensive Drug-induced Orofacial Angioedema: Case Reports
• An Overview of Maxillofacial Rehabilitation for the General Dentist

This issue includes regular columns with regional news impacting the New York membership including: editorial and perspectives columns, legal, association activities, component news, continuing education opportunities, and classifieds.