Analyzing Awareness and Knowledge of Artificial Intelligences Potential Application in Prosthodontics and Clinical Dentistry

Date

2024-9

Type

Article

Journal title

Issue

Vol. 2024 No. 2

Author(s)

SIRAGEDDIN ALHMADI

Abstract

Artificial intelligence (AI) has seen a surge in utilization in dentistry and medicine in recent years. Deep learning algorithms have outperformed clinicians in accuracy and efficiency when it comes to prosthodontic diagnosis. The aim of this study was to collect information regarding the knowledge and opinions of physicians and students regarding artificial intelligence (AI). Dentistry professionals were asked to respond to a 14-item survey regarding their use of AI in clinical settings. A crosssectional online survey was conducted among experienced dentists and undergraduate students from various dental medicine institutions in Tripoli (n = 402) to assess current perceptions and grasps of AI in practice. Statistical analysis was performed with SPSS 20®1, Graph Pad Prism®1, and Microsoft Excel 20163. All qualitative data were presented as frequency & percentages, all comparisons were performed by using the Chi square test. There was a notable variation in the responses given that 50.7% of participants are aware of healthcare equipment powered by AI, and 38.8% think AI may be used to diagnose soft tissue lesions. 52.7% believe in AI's ability to learn from successful crown designs. 52.2% of respondents think AI can be applied to implant detection. 51% of people think AI can be utilized in caries diagnosis. Compared to females, males exhibit higher levels of awareness (61.9%). The study's conclusions indicate that Tripoli's dental practitioners are fairly knowledgeable about artificial intelligence in dentistry. Nonetheless, a great deal of positivety outweighs the use of artificial intelligence in dentistry. To improve professional and student preparedness, and hence, expand AI integration in practice, more work needs to be done in this area. Participants who are male are more upbeat and self-assured about AI in dentistry

Fulltext

View