Clinical AI Engine

Imaging intelligence that acts in seconds, not hours

NexusAI's clinical AI engine processes medical imaging in real time — detecting critical findings, quantifying disease burden, and triggering care team coordination before the radiologist opens the study.

From scan acquisition to care activation

Every imaging study flows through NexusAI's detection pipeline, with results delivered into existing radiology and clinical workflows within seconds of acquisition.

Real-time imaging AI pipeline
🏥
Step 01
Image Acquired
CT, MRI, or X-ray study completes and posts to PACS/RIS
Step 02
AI Detection
NexusAI analyzes the study in under 60 seconds, detecting critical and incidental findings
📊
Step 03
Quantification
Volume, severity, and morphology are auto-measured with uncertainty ranges
📋
Step 04
Worklist Reorder
Radiologist worklist is reprioritized; STAT cases surface immediately
📱
Step 05
Care Team Alert
Specialists notified via mobile with imaging preview and patient context from EHR

Critical conditions. Real-time detection.

NexusAI's detection models are validated across the highest-acuity, time-sensitive conditions where early identification directly determines patient survival and functional outcomes.

🧠
Intracranial Hemorrhage & Stroke
CT Head CTA CT Perfusion MRI

Automated detection of intracranial hemorrhage, large vessel occlusion, and infarct core estimation. Hematoma volume quantification, ASPECTS scoring, and CT perfusion maps delivered seconds after acquisition — activating neurovascular teams before conventional review begins.

44%
Faster specialist notification
39%
Improvement in door-to-groin
🫁
Pulmonary Embolism
CT Chest CT-PA Incidental PE

Detection of acute and incidental pulmonary embolism across CT chest and pulmonary angiography studies. Clot burden quantification and RV/LV ratio estimation to support PE severity stratification. Worklist reprioritization ensures STAT reads for time-critical presentations.

<2min
Median detection time
95%+
Sensitivity in validation studies
🫀
Aortic Disease & Vascular
CT Chest/Abdomen CTA US

Identification and measurement of aortic dissection, aneurysm, and incidental aortic findings across thoracic and abdominal imaging. DVT and IVC filter detection with automated flags for care team follow-up and vascular surgery coordination.

Auto
Diameter measurement
STAT
Dissection alert routing
🦴
Fracture Detection
CT X-Ray Multiple sites

Detection of rib fractures, c-spine fractures, and vertebral compression fractures across CT and X-ray studies. Automated localization and severity classification support both ED triage and outpatient follow-up workflows.

CT+XR
Multi-modality support
ED
Triage optimization
🫁
Chest Pathology
CT Chest X-Ray Lung Nodule

Comprehensive chest imaging AI covering pneumothorax, consolidation, pleural effusion, mediastinal mass, and pulmonary nodule detection. Nodule management support aligned with Fleischner and Lung-RADS guidelines for longitudinal follow-up tracking.

6+
Chest pathologies covered
LungRADS
Guideline-aligned
💓
Cardiac AI
Echo CT Cardiac EKG

AI-assisted cardiac disease assessment spanning echocardiography measurements, cardiac CT findings, and EKG analysis. Consistent automated measurement of ejection fraction, chamber dimensions, and incidental cardiac findings to support cardiology workflows.

EF
Auto-measurement
Multi
Modality fusion

⚠️

Important Regulatory Notice: NexusAI's clinical AI algorithms are not yet FDA-cleared or CE-marked. They are currently deployed under research protocols and clinical decision support frameworks in partner institutions. Our validation studies are designed and powered to support future regulatory submissions. All AI outputs are intended to assist, not replace, qualified clinical judgment. Clinicians retain full interpretive authority.

Beyond detection — full clinical intelligence

NexusAI goes beyond finding abnormalities. The platform provides the clinical context, quantification, and workflow integration to translate detections into action.

🔄
Always-on background analysis
AI runs on every study — not just flagged cases. Incidental and unexpected findings are surfaced proactively, closing care gaps that would otherwise be missed in high-volume workflows.
📐
Automated quantification
Volume, size, and morphological measurements are calculated automatically and attached to AI alerts — giving clinicians the numbers they need without manual segmentation.
📱
Mobile-first care coordination
Specialists receive push alerts with embedded imaging viewer, patient context, and care plan tools on any device — enabling immediate consultation and transfer decision-making without VPN or PACS login.
🔗
EHR & PACS native integration
HL7 FHIR and DICOM-native integrations with major PACS vendors and Epic, Cerner, Athenahealth. AI results surface inside existing workflows — no new screens, no extra login.
📊
AI performance transparency
Radiologist feedback, detection accuracy dashboards, and model performance monitoring are built into the platform. Know how the AI is performing on your patient population — in real time.
🌐
Hub-and-spoke network support
NexusAI connects referring facilities, transfer centers, and comprehensive care hubs into a coordinated network — ensuring patients reach the right level of care faster across geography.

Purpose-built for radiologist workflows

  • Intelligent worklist reprioritization
    NexusAI continuously monitors the worklist and surfaces time-critical cases — from STAT findings to scheduled follow-ups — ensuring radiologists read the most urgent studies first, always.
  • 🔍
    Incidental finding management
    AI flags incidental findings that require follow-up — lung nodules, adrenal lesions, vascular incidentalomas — and integrates with follow-up tracking workflows to prevent patients from being lost to care.
  • 📝
    Structured report pre-population
    AI measurements and findings pre-populate structured radiology report templates, reducing transcription burden and ensuring quantitative data is consistently captured.
  • 📉
    Report turnaround time optimization
    By surfacing high-acuity studies and supporting structured reporting, NexusAI measurably improves RTAT for urgent cases — a key quality metric for radiology practices and health systems.
AI Performance Summary
ICH Detection Sensitivity 96.8%
PE Detection Sensitivity 95.2%
LVO Detection AUC 0.94
Regulatory Note
Performance metrics reflect validation studies conducted on retrospective and prospective datasets in research settings. Not derived from FDA-cleared product performance. Regulatory submissions in progress.
<60s
Median analysis time
24/7
Always-on monitoring
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Ready to see NexusAI Clinical AI in action?

Request a demo or speak with our clinical team about how the platform fits your radiology and care coordination workflows.

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