AIMC Topic: Dentists
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Evaluation of the Performance of Generative AI Large Language Models ChatGPT, Google Bard, and Microsoft Bing Chat in Supporting Evidence-Based Dentistry: Comparative Mixed Methods Study.
Journal of medical Internet research
Dec 28, 2023
BACKGROUND: The increasing application of generative artificial intelligence large language models (LLMs) in various fields, including dentistry, raises questions about their accuracy.
Impact of artificial intelligence on dentists' gaze during caries detection: A randomized controlled trial.
Journal of dentistry
Nov 26, 2023
OBJECTIVES: We aimed to understand how artificial intelligence (AI) influences dentists by comparing their gaze behavior when using versus not using an AI software to detect primary proximal carious lesions on bitewing radiographs.
Dental Caries Detection and Classification in CBCT Images Using Deep Learning.
International dental journal
Nov 7, 2023
OBJECTIVES: This study aimed to investigate the accuracy of deep learning algorithms to diagnose tooth caries and classify the extension and location of dental caries in cone beam computed tomography (CBCT) images. To the best of our knowledge, this ...
Deep learning for the early identification of periodontitis: a retrospective, multicentre study.
Clinical radiology
Sep 5, 2023
AIM: To develop a deep-learning model to help general dental practitioners diagnose periodontitis accurately and at an early stage.
Implications of large language models such as ChatGPT for dental medicine.
Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
Apr 5, 2023
OBJECTIVE: This article provides an overview of the implications of ChatGPT and other large language models (LLMs) for dental medicine.
Deep learning: A primer for dentists and dental researchers.
Journal of dentistry
Jan 20, 2023
OBJECTIVES: Despite deep learning's wide adoption in dental artificial intelligence (AI) research, researchers from other dental fields and, more so, dental professionals may find it challenging to understand and interpret deep learning studies, thei...
The effect of a deep-learning tool on dentists' performances in detecting apical radiolucencies on periapical radiographs.
Dento maxillo facial radiology
Sep 12, 2022
OBJECTIVES: To determine the efficacy of a deep-learning (DL) tool in assisting dentists in detecting apical radiolucencies on periapical radiographs.
A two-stage deep learning architecture for radiographic staging of periodontal bone loss.
BMC oral health
Apr 1, 2022
BACKGROUND: Radiographic periodontal bone loss is one of the most important basis for periodontitis staging, with problems such as limited accuracy, inconsistency, and low efficiency in imaging diagnosis. Deep learning network may be a solution to im...
Needs for re-intervention on restored teeth in adults: a practice-based study.
Clinical oral investigations
Jul 24, 2021
OBJECTIVES: Evaluate the need for re-intervention on dental coronal restorations in adults seen in a network of general dental practitioners (ReCOL). MATERIALS AND METHODS: This observational, cross-sectional, multicenter study involved 40 practitio...
Role of Robotics and Artificial Intelligence in Oral Health and Preventive Dentistry - Knowledge, Perception and Attitude of Dentists.
Oral health & preventive dentistry
Jul 15, 2021
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 ...
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