Predictive Medical Intelligence

AI & Analytics

Transform raw clinical data into actionable intelligence. DeepCog's analytics layer surfaces patterns invisible to conventional BI tools — powered by medical foundation models trained on 42 million peer-reviewed papers.

Deep Cognition Labs AI analytics — isometric lab with holographic body scan, robotic assistant, DNA helix, and AI diagnostic dashboards

AI analytics built for clinical reality

Predictive Risk Stratification

Predictive Risk Stratification

Identify high-risk patients before deterioration events. Our models process structured EHR data, lab trends, and free-text notes to surface actionable risk scores with clinical reasoning.

Real-Time Scoring
Cohort & Phenotype Discovery

Cohort & Phenotype Discovery

Build precise patient cohorts for trials, QI programs, or population health initiatives using natural language — no SQL required. "Find all patients with HFrEF on ACE-I who missed their 6-month echo."

Natural Language Queries
Clinical Outcome Analytics

Clinical Outcome Analytics

Longitudinal tracking of patient outcomes across cohorts, care pathways, and intervention arms — with AI-generated narrative summaries for executive and clinical reporting.

Automated Narratives
Genomic Intelligence

Genomic Intelligence

Correlate genomic variant profiles with clinical phenotypes, treatment response, and disease progression across your patient population at scale.

VCF + EHR Fusion
Literature-Grounded Insights

Literature-Grounded Insights

Every AI insight is traceable to cited, peer-reviewed evidence. Our RAG pipeline continuously indexes PubMed, ClinicalTrials.gov, and specialty databases so recommendations stay current.

Always Up-to-Date
Operational Analytics

Operational Analytics

Model throughput, hallucination rate, token cost, and latency dashboards ensure your AI deployment performs reliably at scale, with alerting for clinical safety drift.

Safety Monitoring

Real-time clinical intelligence at a glance

The DeepCog analytics console gives your clinical informatics team a live view of model performance, patient risk distribution, and insight quality — all in one place.

  • AI accuracy benchmarked against gold-standard clinical judgements
  • Cohort drift detection alerts your team to data quality issues automatically
  • Explainability traces show which features drove each AI recommendation
  • Role-based access: clinicians see patient-level; administrators see aggregate
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// DEEPCOG ANALYTICS CONSOLE — LIVE
30-Day Readmission Risk
18.4%
↓ 3.2% vs last month
AI Accuracy (MedQA)
91.2%
↑ 0.8% vs baseline
Patients Flagged
1,247
High-risk cohort
Avg. Latency (p99)
712ms
SLA: < 800ms ✓
MODEL USAGE BY SPECIALTY
Cardiology
82%
Oncology
68%
Genomics
54%
Radiology
41%
Pathology
29%
42M+
Medical Papers in Corpus
91.2%
MedQA Benchmark Score
<800ms
p99 Inference Latency
99.9%
Platform Uptime SLA

Turn your clinical data into medical intelligence

Schedule a technical demo and see DeepCog AI Analytics running live on a de-identified dataset from your domain.

Request a Demo → Platform Overview