AI Solutions for Hospitals — Built with You
We build machine learning models tailored to hospitals — with a special focus on diagnostics, clinical risk prediction, and operational decision-making. Each solution is co-designed with medical teams and tested using real, anonymized data.
What We Can Build for You
- Diagnostic Support Models — AI models trained to support imaging, lab result interpretation, or early-stage disease detection, based on your own data.
- Readmission Prediction — Flag patients at risk of re-hospitalization after discharge.
- Emergency Triage Optimization — Prioritize high-risk patients and reduce wait times through smart triage tools.
- ICU & Surgical Resource Forecasting — Anticipate staffing, bed, or ventilator needs in intensive care or surgical wards.
- Early Deterioration Detection — Predict which inpatients are at risk of clinical decline and intervene earlier.
- Operational Forecasting — Predict capacity needs like bed usage, staffing levels, or admissions by day and department.
Built on Your Data, Hosted at DTU
All models are developed using anonymized or pseudonymized data provided by your hospital. Development takes place securely on DTU's GDPR-compliant infrastructure, and the results remain fully under your control.