CerviGuard is SmartClover's flagship healthcare AI project for cervical cancer prevention and follow-up. The product direction is practical: provide clinicians with a secure workspace where AI can support case triage and workflow management, while medical teams remain in final control of decisions.
- Live product workspace: cerviguard.link
- Public implementation repository: SmartCloverAI/CerviGuard
- Published models and assets: huggingface.co/smartclover
Operational model
CerviGuard establishes a clinical operating model where de-identified cervical image intake, AI-assisted interpretation, and role-based follow-up are connected in one audit-ready workflow. Instead of fragmented files and ad-hoc communication, teams can use one traceable path from intake to follow-up planning.
The objective is not to replace clinical judgment. The objective is to reduce missed follow-up signals, improve consistency in triage support, and keep evidence visible at decision points so clinicians can act faster and with better context.
Why this is tied to field screening and follow-up research
This project draws on Romanian field screening and follow-up research in underserved communities, where teams documented practical barriers to participation and continuity of care. Those barriers include access gaps, trust issues, communication friction, and delayed care pathways.
The same problem patterns are documented in peer-reviewed studies that inform the product direction:
- PubMed 28460211 Qualitative research on Roma women's participation in cervical cancer screening in Romania (Social Science & Medicine, 2017), including co-authorship by Dr. Florian Nicula and Andreea Itu (publication name used earlier by Dr. Andreea Damian).
- PubMed 35197342 BMJ Open protocol on facilitators and barriers to follow-up after abnormal cervical screening in remote Romanian communities (2022), co-authored by Dr. Andreea Damian.
These studies help define where a digital clinical workflow has the highest impact: continuity of follow-up, transparent review steps, and stronger coordination between clinical and operational actors.
Current direction
CerviGuard is being developed as a secure, human-in-the-loop clinical system where technology supports teams that already carry responsibility for patient pathways. The objective is to turn field-informed screening and follow-up lessons into daily operational capability, not just research output.