Current Progress and Challenges of Using Artificial Intelligence in Clinical Dentistry-A Narrative Review.
Zinovia SurlariDana-Gabriela BudalaIulian Costin LupuCarmen Gabriela SteleaOana Maria ButnaruIonut LuchianPublished in: Journal of clinical medicine (2023)
The concept of machines learning and acting like humans is what is meant by the phrase "artificial intelligence" (AI). Several branches of dentistry are increasingly relying on artificial intelligence (AI) tools. The literature usually focuses on AI models. These AI models have been used to detect and diagnose a wide range of conditions, including, but not limited to, dental caries, vertical root fractures, apical lesions, diseases of the salivary glands, maxillary sinusitis, maxillofacial cysts, cervical lymph node metastasis, osteoporosis, cancerous lesions, alveolar bone loss, the need for orthodontic extractions or treatments, cephalometric analysis, age and gender determination, and more. The primary contemporary applications of AI in the dental field are in undergraduate teaching and research. Before these methods can be used in everyday dentistry, however, the underlying technology and user interfaces need to be refined.
Keyphrases
- artificial intelligence
- lymph node metastasis
- machine learning
- big data
- deep learning
- bone loss
- squamous cell carcinoma
- postmenopausal women
- systematic review
- oral health
- mental health
- papillary thyroid
- medical students
- mass spectrometry
- bone mineral density
- medical education
- body composition
- high resolution
- solid phase extraction
- liquid chromatography