AiMedix-Medical AI

Medical AI

Medical Imaging & Multimodal Clinical Intelligence

We develop AI-based technologies for quantitative medical image analysis and multimodal clinical data, with an emphasis on interpretable diagnostic and screening support.

Research Areas

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Deep Learning

Medical Imaging AI

Quantitative analysis and computer-aided interpretation of CT and X-ray images.
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Data Integration

Multimodal Clinical Data

Integration of medical imaging and clinical variables for diagnostic and predictive modeling.
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Interpretable AI

Clinical Decision Support

Clinically interpretable AI outputs designed to support screening and diagnostic decision-making.

Featured Research & Development

Clario — AI-Assisted Facial Fracture Detection

Deep-learning-based analysis of facial CT images for automated fracture detection and consistent localization of suspected fracture regions.
  • Automated fracture detection on facial CT images
  • Consistent localization of suspected fracture regions
notion image
Modality Facial CT
Task Fracture detection · Localization
Status R&D / Validation

Oslux — Pelvis AP X-ray–based Osteoporosis Screening AI

Turns a routine pelvis AP X-ray into a first-line osteoporosis check, for clinics without DXA equipment and for mobile health screening.
  • Automatic ROI detection on the pelvis AP X-ray
  • BMD estimation from the image, as a DXA-equivalent measure
  • T-score / Z-score selection by patient profile, then osteoporosis screening
  • Built for the field — institutions without BMD equipment and mobile screening settings
notion image
Modality Pelvis AP X-ray
Task ROI detection · BMD estimation
Status R&D / Clinical Validation
Current medical R&D is being advanced in collaboration with clinical partners.