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CDS edition

Clinical decision support, engineered for the regulatory realities of healthcare.

ChironAI™ CDS is the Agentic Healthcare Operating System for hospitals, clinics, and health-sciences institutions. Powered by Eve-Healthcare™ F5/reasoner. In market since September 24, 2025.

Six capability pillars

Differential diagnosis support

Causal reasoning over presented symptoms with an auditable trace through the underlying evidence base.

Clinical evidence synthesis

Real-time integration of relevant medical literature with explicit confidence calibration.

Treatment protocol intelligence

Guideline-aware recommendations with deviation detection and rationale.

Risk stratification

Multi-factor risk modeling with longitudinal patient context.

Documentation acceleration

Structured note generation aligned to standard documentation taxonomies.

Multi-pass radiology

Five-pass diagnostic imaging analysis — structure, pathology, artifacts, missed zones, and cross-window correlation — as a named, ordered reasoning process.

A named architecture

Multi-pass radiology.

ChironAI's radiology workload runs as a five-pass structured analysis — examining macroscopic structure, subtle pathology, artifacts and devices, commonly missed zones, and cross-window correlation. Each pass surfaces a distinct class of findings with its own evidence trace.

  1. Pass 01
    Structure

    Macroscopic and structural review of the imaged anatomy.

  2. Pass 02
    Pathology

    Subtle pathology and early-disease pattern recognition.

  3. Pass 03
    Artifacts

    Devices, iatrogenic findings, and imaging-artifact differentiation.

  4. Pass 04
    Missed Zones

    Systematic scan of regions commonly overlooked in routine reads.

  5. Pass 05
    Correlation

    Cross-window and sequence correlation across the full study.

Active deployments

Three regions. Three buyer contexts. One reasoning architecture.

United States
California Northstate University

Strategic Collaboration Framework, March 2026. The first U.S. health-sciences university to integrate a reasoning-first agentic AI platform into its academic curriculum. ChironAI collaboration around pharmacogenomics applications within the College of Pharmacy, alongside an integrated education-to-clinical intelligence pipeline tied to CNU's teaching hospital under construction.

East Africa
Kadisco General Hospital, Ethiopia

Strategic MoU, September 2025. ChironAI for clinical decision support at one of Ethiopia's leading private healthcare institutions. Kadisco handles 50,000+ patient visits and 15,000 emergency cases annually, in a country with fewer than 1.5 physicians per 10,000 people. Three pillars: clinical innovation, hospital operations, workforce capacity-building.

South Asia
KPSIAJ — Fatimiyah Hospital, Karachi

Strategic MOU, December 2025. ChironAI in non-clinical readiness evaluation at Fatimiyah Hospital — workflow review, de-identified case simulation, Pakistan-context localization, and definition of readiness criteria (safety, performance, governance). Phased adoption with AI literacy training first.

Compliance posture

HIPAA-aligned controls, audit-grade reasoning traces, and physician-attested outputs at every step. Compliance is engineered into the reasoning substrate, not bolted on at the application layer.

ChironAI™ CDS runs on Eve-Grid™ — MindHYVE's proprietary Azure-native cloud architecture, custom-engineered for compound-AI workloads with the latency and reliability properties regulated healthcare requires.

No customer data is used for training. Our reasoning capability is built on Eve-Genesis (Healthcare Edition) — proprietary, synthetic, and anchored to the canonical guidelines and clinical taxonomies clinicians use every day. Read how →

Every output traceable to its underlying reasoning. Every clinical recommendation is structured for clinician review — the physician decides, the AI reasons.

Architecture

Powered by Eve-Healthcare™ F5/reasoner.

A compositional fabric of cooperating models — proprietary classifier, fine-tuned small reasoning model, and frontier models composed dynamically per workload. The architecture absorbs frontier progress rather than being threatened by it.

Read the architecture

Talk to our clinical team.

For institutional deployment conversations, demo requests, and partnership inquiries.

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