Artificial intelligence in dentistry—A review

H Ding, J Wu, W Zhao, JP Matinlinna… - Frontiers in Dental …, 2023 - frontiersin.org
Artificial Intelligence (AI) is the ability of machines to perform tasks that normally require
human intelligence. AI is not a new term, the concept of AI can be dated back to 1950 …

Deep learning in diagnosis of dental anomalies and diseases: A systematic review

E Sivari, GB Senirkentli, E Bostanci, MS Guzel, K Acici… - Diagnostics, 2023 - mdpi.com
Deep learning and diagnostic applications in oral and dental health have received
significant attention recently. In this review, studies applying deep learning to diagnose …

[HTML][HTML] Performance of generative artificial intelligence in dental licensing examinations

RCW Chau, KM Thu, OY Yu, RTC Hsung… - International Dental …, 2024 - Elsevier
ABSTRACT Objectives Generative artificial intelligence (GenAI), including large language
models (LLMs), has vast potential applications in health care and education. However, it is …

Diffusion-based hierarchical multi-label object detection to analyze panoramic dental x-rays

IE Hamamci, S Er, E Simsar, A Sekuboyina… - … Conference on Medical …, 2023 - Springer
Due to the necessity for precise treatment planning, the use of panoramic X-rays to identify
different dental diseases has tremendously increased. Although numerous ML models have …

[HTML][HTML] Transforming dental caries diagnosis through artificial intelligence-based techniques

S Anil, P Porwal, A Porwal - Cureus, 2023 - ncbi.nlm.nih.gov
Diagnosing dental caries plays a pivotal role in preventing and treating tooth decay.
However, traditional methods of diagnosing caries often fall short in accuracy and efficiency …

Capacity building in Nigeria's healthcare sector: A review of skill development and mentorship initiatives

BA Okunade, FE Adediran, OD Balogun… - World Journal of …, 2023 - wjarr.com
This paper delves into the critical realm of skill development and mentorship within Nigeria's
healthcare sector, aiming to dissect and evaluate the current state of healthcare capacity …

[HTML][HTML] Attitude, perception and barriers of dental professionals towards artificial intelligence

N Singh, A Pandey, AP Tikku, P Verma… - Journal of Oral Biology …, 2023 - Elsevier
Aim To know attitudes, perceptions and barriers towards the use of Artificial Intelligence (AI)
in dentistry in India among undergraduate and postgraduate students. Methodology A …

DENTEX: an abnormal tooth detection with dental enumeration and diagnosis benchmark for panoramic X-rays

IE Hamamci, S Er, E Simsar, AE Yuksel… - arXiv preprint arXiv …, 2023 - arxiv.org
Panoramic X-rays are frequently used in dentistry for treatment planning, but their
interpretation can be both time-consuming and prone to error. Artificial intelligence (AI) has …

Data augmentation on intra-oral images using image manipulation techniques

S AbuSalim, N Zakaria, N Mokhtar… - 2022 International …, 2022 - ieeexplore.ieee.org
The quality, quantity, and relevance of training data determine how well most ML models
perform, and deep learning models. One of the most frequent problems in implementing …

Forensic odontology in DVI—A path forward

RE Wood, T Gardner - Journal of Forensic Sciences, 2023 - Wiley Online Library
Dental identification is a pillar of disaster victim identification (DVI). Dental identification is
accurate, efficient, inexpensive, and accepted in courts of law. The (known) antemortem …