The Impact of AI on Evidence-Based Dentistry
- Submission status
- Closed
- Submission deadline
This collection aims to explore the transformative role of artificial intelligence (AI) in the field of evidence-based dentistry. As AI technologies rapidly evolve, they present both challenges and opportunities for improving dental practices, patient outcomes, and clinical decision-making.
We invite articles which examine the intersection of AI and evidence-based approaches of the dental practitioner – including Systematic Reviews, Scoping Reviews, Methodology articles and Feasibility Studies (please note Comments are by invitation only, unsolicited Comments will not be considered).
We welcome a diverse range of topics, including but not limited to:
- AI in Diagnostic Tools: Exploration of AI applications in enhancing diagnostic accuracy for oral diseases.
- Predictive Analytics: Analysis of how AI can forecast treatment outcomes and assist in personalised patient care.
- Clinical Decision Support Systems: Examination of AI-driven systems that support clinicians in making evidence-based decisions.
- Impact on Patient Management: Insights into how AI technologies can improve patient engagement and management strategies.
- Ethical Considerations: Discussion on the ethical implications of AI integration in dental practices.
- Education and Training: How AI can be integrated into dental education to enhance learning and clinical practice.
Editors
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Neeraj Gugnani
DAV (C) Dental College Yamunanagar, India
