FABS3D AI
Origin language: English
Country
Kazakhstan
Coverage
International
Nb of implementation sites
1
Lead organization
Implementation partners
ProFace Cosmetology Clinic Network
Premium Oral Design Dental Clinic (Tokyo, Japan)
University of Otago – Faculty of Dentistry
Health Focus Area
Oral Health
Rehabilitation
Services
Decision Support
Diagnostics
Others
Enabling technologies
Other
Artificial Intelligence
Blockchain
Cloud Computing
Software
Standards
Other
Tools
Funding sources
Private funds
Research grants
Business model
Subscription
Funders
N/A
Summary
FABS3D AI is an innovative platform that utilizes AI technology to create 3D digital twin simulations, allowing clinicians to visualize treatment outcomes in dental, oral-maxillofacial, and aesthetic procedures prior to actual intervention. It converts patient photographs and 3D scans into precise digital models, automates cephalometric analysis, and produces structured clinical reports. By consolidating multiple planning tools into one integrated solution, the platform significantly reduces treatment planning time by about 90% and decreases costs per case, ultimately enhancing workflow efficiency and supporting more predictable clinical decision-making. It further connects oral health with broader clinical factors such as TMJ function, craniofacial posture, sleep, and the oral-gut axis. FABS3D AI aims to elevate clinical treatment planning by offering AI-driven simulations, automating crucial diagnostic workflows, and enabling dental and oral healthcare professionals to make more accurate and evidence-based decisions for adult patients.
Keywords
Decision making
Digital health
Digital technology
Artificial intelligence
Clinical care
Publications
Insights - Lessons learnt
Challenges
As an early-stage AI healthcare platform, the project faces challenges related to clinical validation across different populations, regulatory requirements for medical software, market expansion, and access to high-quality anonymized clinical datasets for AI model development and localization.
Recommendations
Close collaboration with clinicians, universities, and research institutions has supported the continuous improvement of the platform. Integration of AI-powered 3D digital twins into clinical workflows, combined with validation in real healthcare settings, has enhanced implementation and scalability. Partnerships with academic institutions and healthcare providers contribute to ongoing model refinement and sustainable adoption.
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Any additional questions?
iDHA (Project ID)
j5k2fs
Project links
https://forbes.kz/articles/kak-kazahstanskiy-medtech-startap-privlek-vnimanie-stomatologov-iz-azii-i-evropy-8d7bfdOrigin of information
Project stakeholder
Data source link
N/AAdded to the platform on
2026-07-15
Project editors
Last update by
Albina Salbaeva on 2026-07-15
Number of views
12
WHO classifications




