Enhancing dental medication management through artificial intelligence: A comprehensive review of contributions from nursing, dentistry, and pharmacy
Keywords:
Artificial Intelligence, dental medication management, convolutional neural networks, diagnostic accuracy, healthcare innovationAbstract
Background: The integration of Artificial Intelligence (AI) in healthcare, particularly in dental medication management, has the potential to enhance treatment efficacy and patient outcomes. The rising prevalence of dental diseases, coupled with a shortage of professionals, necessitates innovative solutions to improve care delivery. Methods: This review analyzes AI applications in dentistry, focusing on literature published from 2000 to 2021. Key databases, including PubMed and Web of Science, were utilized to gather studies employing AI models, particularly convolutional neural networks (CNNs), for diagnosing dental conditions and managing medication. Results: The findings indicate a significant increase in AI research within dentistry, highlighting its effectiveness in diagnostic accuracy and efficiency. AI models demonstrated high precision in identifying dental caries, periodontal diseases, and other oral health issues. Notable advancements include automated systems for radiographic analysis and clinical decision support, which have streamlined workflows and reduced the burden on dental professionals. Conclusion: AI holds transformative potential in dental medication management by facilitating accurate diagnoses and personalized treatment plans. While current applications show promise, further research is required to assess the cost-effectiveness and long-term implications of AI integration in clinical practice.
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