Introduction Healthcare amelioration is exponential to technological advancement. In the
recent era of automation, the consolidation of artificial intelligence (AI) in dentistry has …

Introduction Natural language processing (NLP) is an intersection between Computer
Science and Linguistic which aims to enable machines to process and understand human …

Background In the past, dentistry heavily relied on manual image analysis and diagnostic
procedures, which could be time-consuming and prone to human error. The advent of …

Background Artificial intelligence (AI), a field within computer science, uses algorithms to
replicate human intelligence tasks such as pattern recognition, decision‐making and …

Artificial intelligence systems (AISs) gain relevance in dentistry, encompassing diagnostics,
treatment planning, patient management, and therapy. However, questions about the …

Human-centric computer vision (HCCV) data curation practices often neglect privacy and
bias concerns, leading to dataset retractions and unfair models. HCCV datasets constructed …

As a relatively new tool, the use of artificial intelligence (AI) in medicine and dentistry has the
potential to significantly transform the healthcare sector. AI has already demonstrated …

Artificial intelligence (AI) is emerging as a transformative technology in healthcare, including
endodontics. A gap in knowledge exists in understanding AI's applications and limitations …

Background Recent years have witnessed an explosive surge in dental research related to
artificial intelligence (AI). These applications have optimised dental workflows …

In the realm of dental tissue regeneration research, various constraints exist such as the
potential variance in cell quality, potency arising from differences in donor tissue and tissue …