ReviewCureus2026
Dentistry 5.0: An Emerging Framework Integrating Bioengineering, AI, and Global Innovation Pathways for Equitable Oral Health.
Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dentistry is undergoing a profound transformation driven by advances in bioengineering that integrate artificial intelligence (AI), regenerative biology, digital manufacturing, salivary diagnostics, and extended reality (XR). Despite the rapid pace of innovation, global disparities in infrastructure, research capacity, and workforce distribution continue to limit the equitable adoption of these technologies. The emerging paradigm of Reverse Evidence-Based Dentistry (rEBD) provides a framework to link real-world clinical practice with scientific validation, strengthening translational pathways across diverse health systems. This narrative review analyzes the global intersection between dentistry and bioengineering, examining how innovations in AI-assisted diagnostics, biomaterials, regenerative platforms, wearable technologies, and XR-based education influence oral-systemic health, translational research, and the development of Dentistry 5.0. A secondary objective is to propose policy, educational, and research strategies that support equitable implementation across high-income countries (HICs) and low- and middle-income countries (LMICs), in alignment with rEBD principles. The review draws on international oral health data, biomedical engineering literature, global innovation studies, and academic collaborations, integrating evidence on regenerative dentistry, digital ecosystems, AI-driven diagnostics, frugal innovation for low-resource settings, and open-access scientific infrastructures. The findings indicate that bioengineering is reshaping dental practice through intelligent diagnostic systems, bioactive and regenerative materials, soft robotic devices, and digital manufacturing workflows, while AI- and XR-enhanced education platforms improve access to high-quality training, particularly in regions with limited infrastructure. Regional clinical hubs in LMICs facilitate context-specific validation of emerging technologies and support frugal innovation pathways, although persistent inequities remain in digital infrastructure, AI dataset diversity, regulatory readiness, and the integration of oral health into broader non-communicable disease strategies. Overall, Dentistry 5.0 reflects the convergence of biological, digital, and intelligent systems to deliver personalized, preventive, and globally connected oral healthcare, and its equitable implementation will require coordinated strategies grounded in the rEBD framework to ensure scientific rigor and global relevance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.