Unified AI Platform transforming routine medical imaging into comprehensive systemic health insights. Detect risks early, intervene sooner, save lives.
The platform integrates diverse imaging sources to create a comprehensive health profile

Panoramic imaging reveals carotid calcifications, bone density patterns, and periodontal markers indicating systemic cardiovascular and metabolic health.
Fundus and OCT imaging captures microvascular changes, oxygen saturation patterns, and vessel geometry—early indicators of diabetes, hypertension, and stroke risk.
Non-invasive hearing tests—pure-tone audiometry, speech-in-noise, and DPOAE—surface early biomarkers for cardiometabolic disease, cognitive decline, and fall risk.
A seamless workflow from image acquisition to clinical decision support
Routine clinical imaging and screening is captured during standard patient visits—dental X-rays, retinal scans, and audiometric screening.
Specialized deep learning models analyze images and audiometric data to detect physiological biomarkers: calcifications, vascular patterns, bone density, hearing thresholds, and more.
The AI correlates detected biomarkers with clinical outcomes, assessing risks for diabetes, cardiovascular disease, stroke, osteoporosis, cognitive decline, and falls.
All insights aggregate into a single patient dashboard with color-coded risk indicators (green, yellow, red) for each condition.
Based on risk assessment, the system recommends appropriate specialist referrals—GPs, cardiologists, ophthalmologists, audiologists, and dental specialists.
First Signal Summary
A quick overview of how Prevention Spine transforms routine imaging into systemic health insights.
First Signal Health Promo
See how clinicians use the platform to detect risk early and streamline specialist referrals.
Click the diagram to explore the complete workflow →

Advanced machine learning models trained to detect subtle biomarkers invisible to the human eye
Identifies carotid artery calcifications in dental X-rays, a strong predictor of cardiovascular disease.
Analyzes retinal vessel patterns, oxygen saturation, and morphology to assess cardiovascular and metabolic health.
Evaluates mandibular bone density from dental imaging to predict osteoporosis risk and skeletal health.
Processes pure-tone audiometry, speech-in-noise, and DPOAE signals to flag hearing-loss patterns linked to cardiometabolic and neurological health.
Correlates auditory and vascular biomarkers to estimate cognitive decline trajectory and fall risk, enabling early protective interventions.
Integrates multiple biomarkers to generate comprehensive risk profiles for diabetes, stroke, cognitive decline, and other conditions.
Identify at-risk patients during routine non-invasive exams, enabling preventative interventions before major clinical events.
Early intervention significantly reduces morbidity and mortality from chronic diseases like diabetes, cardiovascular disease, and stroke.
Preventative care reduces long-term healthcare costs by avoiding expensive emergency interventions and hospitalizations.
Patients gain actionable insights about their health status, motivating lifestyle changes and proactive health management.
Earlier detection of cardiovascular disease through carotid calcification analysis
Improvement in diabetes risk prediction accuracy with integrated biomarkers
Average healthcare cost savings per 1,000 patients through preventative intervention
Comprehensive patient health assessment in a single, intuitive interface
Diabetes Risk
Low RiskCVD Risk
Moderate RiskStroke Risk
High RiskOsteoporosis
Low RiskCognitive Decline
Moderate RiskFall Risk
High RiskJoin healthcare providers using the Prevention Spine to detect risks early and improve patient outcomes.