Protomia provides a browser‑based platform that creates high‑resolution 3D digital twins of a patient’s face from videos, photos, or DICOM scans. The tool offers scientific measurement, symmetry analysis, and real‑time procedural simulations for both surgical and non‑surgical facial treatments, with secure data sharing and export options for VR or 3D‑printing.
Funding
Funding not disclosed
Founders
Product
Problem
Facial aesthetic planning often relies on static 2D photos or manual measurements, which can be imprecise and time‑consuming, leading to uncertainty in surgical outcomes and patient expectations. Non‑surgical practitioners also lack tools to quickly visualize treatment effects, making consultations less efficient.
Solution
Protomia offers a browser‑based platform that transforms short videos, images, or DICOM scans into detailed digital twins of a patient’s face and head. The system provides research‑backed symmetry analysis, angle and distance metrics, and comprehensive facial measurements to support both surgical and non‑surgical planning. Proprietary algorithms generate real‑time visual simulations of proposed procedures, and the results can be exported for VR or 3D‑printing workflows. Secure, in‑browser data sharing enables clinicians to create longitudinal follow‑up reports and maintain patient records across multiple consultations.
Target Audience
Primary users are cosmetic surgeons, maxillofacial and plastic surgeons, as well as aesthetic physicians offering non‑surgical facial treatments.
Features
- Automatic generation of high‑resolution 3D digital twins from videos, photos, or DICOM files directly in the browser
- Science‑grade measurement suite covering symmetry analysis, angular calculations, distance metrics, and full face/head parameters
- Real‑time procedural simulation with adjustable parameters for both surgical (e.g., rhinoplasty) and non‑surgical treatments
- Secure patient data sharing and long‑term follow‑up reporting tools for multi‑visit tracking
- Integration pathways for VR visualization and 3D‑printing of patient‑specific models