AI that earns clinical trust
Predictive diagnostics that see disease months earlier · private by architecture, interpretable by design, validated in five-hospital clinical trials.
Diagnostic review queue
European Health Network · live
Low-confidence cases escalate to a clinician · never auto-confirmed.
A Hominis app module · your healthcare data, app-ified
Give early detection an AI-powered edge
The predictive-diagnostics platform analyzes records, labs, imaging and genetic markers into one risk picture.
Early chronic-disease detection
Flag at-risk patients months before traditional diagnostics · 89% sensitivity, 92% specificity in trials.
Medical imaging analysis
Imaging data folded into risk models alongside records, labs and genetic markers.
Personalized risk profiles
Per-patient health trajectories instead of one-size-fits-all screening intervals.
Preventive intervention planning
Recommended interventions tailored to each profile · prevention-focused care that cut costs 20%.
Clinical decision support
Interpretable predictions that show the risk factors behind every assessment.
Private by architecture, interpretable by design
The two innovations that carried the platform through regulatory approval and physician adoption.
Federated learning across hospitals
Models train across multiple hospitals without patient data ever leaving its source system · privacy compliance by design, not by exception. The pattern that made GDPR a structural property of the platform.
Explanations clinicians can interrogate
A novel attention-based architecture highlights the specific risk factors driving each assessment. That transparency · not raw accuracy · is what won clinical adoption and regulatory approval.
Predictive diagnostics in healthcare
RealAI's flagship healthcare deployment pairs Hominis vision models with clinical workflows · identifying patients at risk months before traditional methods, while meeting full GDPR and clinical-governance requirements. From Assess to Sustain, the complete method in production.
