AIMC Topic: Dentists

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Role of Robotics and Artificial Intelligence in Oral Health and Preventive Dentistry - Knowledge, Perception and Attitude of Dentists.

Oral health & preventive dentistry
PURPOSE: To assess the knowledge, attitude and perception of dentists (dental students, dental school graduates/interns, postgraduate dentists) of the role of robotics (R) and artificial intelligence (AI) in oral health and preventive dentistry. The ...

Robot technology in dentistry, part two of a systematic review: an overview of initiatives.

Dental materials : official publication of the Academy of Dental Materials
OBJECTIVES: To provide dental practitioners and researchers with a comprehensive and transparent evidence-based overview of physical robot initiatives in all fields of dentistry.

Robot technology in dentistry, part one of a systematic review: literature characteristics.

Dental materials : official publication of the Academy of Dental Materials
OBJECTIVES: To provide dental practitioners and researchers with a comprehensive and transparent evidence-based overview of the characteristics of literature regarding initiatives of robot technology in dentistry.

Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey.

Dento maxillo facial radiology
OBJECTIVES: The aim of this study was to assess the attitude of dentists and dental students in Brazil regarding the impact of artificial intelligence (AI) in oral radiology, and to evaluate the effect of an introductory AI lecture on their attitude.

Current Applications, Opportunities, and Limitations of AI for 3D Imaging in Dental Research and Practice.

International journal of environmental research and public health
The increasing use of three-dimensional (3D) imaging techniques in dental medicine has boosted the development and use of artificial intelligence (AI) systems for various clinical problems. Cone beam computed tomography (CBCT) and intraoral/facial sc...

Artificial Intelligence (AI)-Driven Molar Angulation Measurements to Predict Third Molar Eruption on Panoramic Radiographs.

International journal of environmental research and public health
The purpose of the presented Artificial Intelligence (AI)-tool was to automatically segment the mandibular molars on panoramic radiographs and extract the molar orientations in order to predict the third molars' eruption potential. In total, 838 pano...

The missing link in image quality assessment in digital dental radiography.

Oral radiology
Digital radiography is gaining popularity among general dental practitioners. It includes digital intraoral radiography, digital panoramic radiography, digital cephalography, and cone-beam computed tomography. In this study, we focused on the methods...

Deep Learning for the Radiographic Detection of Periodontal Bone Loss.

Scientific reports
We applied deep convolutional neural networks (CNNs) to detect periodontal bone loss (PBL) on panoramic dental radiographs. We synthesized a set of 2001 image segments from panoramic radiographs. Our reference test was the measured % of PBL. A deep f...

Facilitating accurate health provider directories using natural language processing.

BMC medical informatics and decision making
BACKGROUND: Accurate information in provider directories are vital in health care including health information exchange, health benefits exchange, quality reporting, and in the reimbursement and delivery of care. Maintaining provider directory data a...

Information from digital and human sources: A comparison of chatbot and clinician responses to orthodontic questions.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: This study aimed to investigate whether artificial intelligence (AI)-based chatbots can be used as reliable adjunct tools in orthodontic practice by evaluating chatbot responses and comparing them to those of clinicians with varying lev...