Clinical Reasoning AI
The clinical-decision agent that sees across modalities. Merge imaging, genomics, and EHR into reasoned, auditable summaries with evidence links.
Product capabilities
Lumen runs NVIDIA NeMo agentic AI frameworks to synthesize imaging, genomics, pathology, and EHR into grounded clinical summaries — with citations to every supporting data point.
Generate clinical summaries that link every claim to source data — radiology reports, variant calls, lab values, pathology slides. Every recommendation is traceable to evidence, with human-in-the-loop signoff for high-stakes decisions.
Longitudinal views that merge imaging progression, genomic events, and clinical notes into unified patient stories.
Automatic escalation for conflicting findings, rare variants, or low-confidence reasoning — flags for specialist review.
Clinician approval workflows for treatment recommendations and differential diagnosis suggestions.
Link every clinical claim to supporting evidence; flag missing data that could change decisions.
Match patients to trial eligibility criteria using cross-modal phenotype extraction from all data sources.
NVIDIA healthcare stack
GPU-accelerated language models for clinical reasoning, entity extraction, and cross-modal synthesis with medical grounding.
Multi-step reasoning with tool use, evidence retrieval, and escalation logic — all backed by NVIDIA GPU infrastructure.
Performance metrics
Faster tumor board preparation — compress case review from hours to minutes with cross-modal summaries
Fewer escalations to specialist review — Lumen handles routine cases, flags complex ones for clinician attention
Modalities fused — imaging, genomics, pathology, EHR, lab values merged into unified clinical summaries
Sub-minute case summaries with full evidence links across all patient data sources
Audit coverage — every clinical claim links back to source evidence with full reasoning provenance
Use cases
Merge radiology imaging (via Vision), genomic variant calls (via Helix), pathology slides, and clinical history into synthesized tumor board packets. Lumen generates reasoned summaries with treatment options, trial matches, and care gaps — all with evidence links. Clinicians review and approve recommendations in minutes instead of hours.
Synthesize variant significance, therapeutic implications, and literature evidence for precision oncology case review.
Extract cross-modal phenotypes from all data sources to match patients to trial eligibility criteria automatically.
Generate differential diagnoses that synthesize imaging findings, genomic results, lab values, and clinical presentation — with confidence scores and evidence links. Escalate low-confidence or conflicting cases for specialist review.
Track disease progression, treatment response, and new findings across modalities over months to years — unified timelines.
How it works
Lumen connects imaging, genomics, pathology, and EHR into reasoned, evidence-grounded clinical decision support with full audit trails.
Pull imaging (Vision), genomics (Helix), pathology, EHR, labs from unified Atlas data layer
Generate unified semantic embeddings across all patient data sources for retrieval and synthesis
Multi-step clinical reasoning with tool use, evidence retrieval, and escalation logic using NeMo frameworks
Link every clinical claim to source data — imaging findings, variant calls, lab values, pathology reports
Generate clinical summary with treatment options, trial matches, care gaps — all with evidence links
Human-in-the-loop approval workflow for treatment recommendations and high-stakes decisions
Integration
Ingest and sync with Epic, Cerner, and other EHR systems via HL7 FHIR or custom connectors
Connect to PACS, VNA, and digital pathology platforms for cross-modal clinical reasoning
Ground reasoning in ClinVar, OncoKB, PubMed, and institutional clinical guidelines
Related products
Real-time GPU radiology and pathology AI for detection and segmentation.
Whole genomes from a day to under an hour with Parabricks-backed secondary analysis.
Generative AI for protein structure prediction and molecular design with BioNeMo.
HIPAA-compliant deployment with full audit, model versioning, and IP protection.
The consented, de-identified data layer that powers the Mergic flywheel.
FAQ
Answers for clinical teams, oncologists, and health system IT leaders evaluating Lumen.
Every clinical claim in a Lumen summary links back to source evidence — imaging findings, variant calls, lab values, pathology reports. The reasoning provenance is fully traceable, and clinicians approve all treatment recommendations via human-in-the-loop workflows.
Imaging (radiology, pathology), genomics (WGS, WES, panels), EHR (clinical notes, medications, diagnoses), labs, and any structured or unstructured clinical data in Atlas.
Yes. Lumen exports case summaries, evidence links, and recommendations to EHR, tumor board management systems, or custom clinical portals via API. Clinicians can review and approve in-platform or via existing tools.
Lumen extracts cross-modal phenotypes (genomic alterations, imaging findings, histology, clinical history) and matches against trial eligibility criteria. Matching accuracy improves as more cases are reviewed and approved, feeding back into Atlas for model retraining.
Get started
Bring a tumor board, differential diagnosis, or clinical trial matching use case. We'll map the cross-modal synthesis, evidence grounding, and first measurable outcome.