This post summarizes key insights from a recent academic review on artificial intelligence in dentistry, demonstrating the future of cloud-based solutions in clinical practice.

Artificial Intelligence Cloud Solutions in Dentistry: A Strategic Transformation

The Future is Now: AI and Cloud Computing in Dental Practice

The integration of artificial intelligence (AI) cloud solutions in dental clinics is no longer a futuristic concept—it is rapidly becoming a cornerstone of modern dental care. A 2025 review by Bedia et al. outlines a comprehensive roadmap for this transformation, highlighting how AI-powered cloud technologies can revolutionize diagnostics, administrative workflows, and patient engagement1.

By combining scalable cloud infrastructure with advanced AI algorithms, dental practices can process and analyze complex imaging and clinical data with unprecedented speed and accuracy. Systems like Overjet and Pearl utilize machine learning to interpret radiographs and CBCT scans, providing real-time decision support for clinicians23. Administrative platforms such as CareStack and Open Dental Cloud optimize scheduling, billing, and patient communication while maintaining strict compliance with data protection laws like HIPAA and GDPR4.

The implementation of these technologies requires several strategic steps: establishing high-speed internet infrastructure, adopting secure data migration procedures, acquiring suitable software licenses, and training clinical and administrative staff across disciplines. Crucially, ongoing software maintenance, regular audits, and adaptability to updates are essential to sustaining long-term efficiency and regulatory compliance5.

Despite the promise, clinics face barriers such as high upfront costs, limited internet access in rural settings, and staff resistance to technological change. Moreover, ethical concerns and the lack of legal clarity regarding AI-assisted clinical decisions remain unresolved6. Nevertheless, the benefits of AI cloud adoption—including faster diagnostics, better treatment outcomes, and improved patient satisfaction—far outweigh these challenges for clinics ready to embrace digital innovation.

Read the full academic article

  1. Bedia, S. V., et al. (2025). A Comprehensive Guide to Implement Artificial Intelligence Cloud Solutions in a Dental Clinic: A Review. Cureus, 17(2), e78718. https://doi.org/10.7759/cureus.78718 ↩

  2. Carrillo-Perez, F., et al. (2022). Applications of artificial intelligence in dentistry: A comprehensive review. Journal of Esthetic and Restorative Dentistry, 34(2), 259–280. https://doi.org/10.1111/jerd.12844 ↩

  3. Allani, H., et al. (2024). Multidisciplinary applications of AI in dentistry: A bibliometric review. Applied Sciences, 14(17), 7624. https://doi.org/10.3390/app14177624 ↩

  4. Barati, M., et al. (2022). Privacy-aware cloud auditing for GDPR compliance verification in online healthcare. IEEE Transactions on Industrial Informatics, 18(7), 4808–4819. https://doi.org/10.1109/TII.2021.3100152 ↩

  5. Liu, Y., et al. (2022). Blockchain bridges critical national infrastructures: e-healthcare data migration perspective. IEEE Access, 10, 28509–28519. https://doi.org/10.1109/access.2022.3156591 ↩

  6. Müller, A., et al. (2021). Barriers and enablers for artificial intelligence in dental diagnostics: A qualitative study. Journal of Clinical Medicine, 10(8), 1816. https://doi.org/10.3390/jcm10081612 ↩