InformAI

Radiologist uploads CT to PACS.

InformAI automatically pulls the DICOM file.

AI identifies opacification and calculates Lund-Mackay scores.

Report is delivered to the ENT dashboard for review.

System ingests donor and waitlist patient data.

InformAI runs 1,000+ simulation variables.

AI outputs a success probability score for each potential match.

Clinicians use scores to prioritize organ allocation.

AI monitors EHR for high-risk cardiac markers.

System flags patients with declining health indicators post-discharge.

Automated alerts are sent to the care coordination team.

Targeted intervention is scheduled based on AI risk stratification.

AI scans hospital database for specific phenotypic markers.

System cross-references patient data with trial inclusion criteria.

A list of eligible candidates is generated for the principal investigator.

Clinicians contact patients for consent and enrollment.

AI creates a 3D reconstruction of the patient's joint structure.

Software simulates the fit of various implant models.

System provides precise measurements for the surgical team.

Surgical time is reduced due to pre-planned specifications.

AI performs a 'first look' at all incoming scans.

System detects urgent pathologies like intracranial hemorrhages.

The urgent scan is automatically moved to the top of the radiologist's list.

Faster turnaround time for life-critical cases.

AI analyzes historical admission patterns and community health data.

System predicts upcoming patient surges (e.g., flu season).

Hospital management adjusts staffing schedules accordingly.

Operational costs are lowered by preventing overstaffing.