ChironAI™ CDS is the Agentic Healthcare Operating System for hospitals, clinics, and health-sciences institutions. Powered by Eve-Healthcare™ F5/reasoner. Generally available since September 24, 2025.
Causal reasoning over presenting features with Bayesian confidence calibration and an auditable trace through the underlying evidence base.
ReasoningReal-time synthesis of canonical clinical guidelines and peer-reviewed literature, with explicit guideline-anchor citations and confidence calibration.
ReasoningWells, GRACE, MELD, CHA₂DS₂-VASc, TIMI, and other canonical scoring frameworks with the reasoning that justifies each score.
ImagingFive-pass diagnostic imaging analysis. Twelve canonical framework awareness (BI-RADS, LI-RADS, PI-RADS, Lung-RADS, TI-RADS, RECIST, others). Red-Alert discipline.
DiagnosticsTen canonical lab presentations recognized as patterns (sepsis screen, AKI, thyroid trajectory, lipid panel, others). Reference-range adjustment for demographic context.
DocumentationEvery statement in the generated SOAP note traceable to its underlying source field, source value, and source date in the chart. The audit chain stamps the trace.
DocumentationTwelve locales out of the box (English, Spanish, French, German, Hindi, Mandarin, Arabic, Tagalog, Vietnamese, Korean, Portuguese, Russian). RTL support.
PrescribingFour-tier severity (critical, major, moderate, minor) with mechanism disclosure. Step therapy and prior auth flags. Evidence anchoring to the canonical pharmacology source.
PrescribingFull medication context: indication, mechanism, contraindication, drug-drug and drug-disease interaction, dose-adjustment guidance. RxNorm-anchored.
EngagementStructured pre-visit interview by AI Digital Employee — history, ROS, risk flags surfaced before the clinician walks in. Patient input feeds the consultation context.
EngagementMulti-language patient education at six reading levels (kindergarten through professional). The system meets the patient where they read.
WorkflowEvery signed document gets an immutable SHA-256 hash at signature time. Amendments are recorded as new versions; the original signed version stays verifiable.
ComplianceArchitectural AB 489 gate. Every AI artifact carries the non-dismissible review banner. Every PDF export carries the disclosure in the footer. Persistent invariant.
ComplianceHMAC + previous-hash audit log on every clinical action. Immutability enforced at the database layer. Tamper-evident verifiable end to end.
ReasoningSix-tier qualitative scale plus quantitative Bayesian percentages. “Cannot exclude” as a first-class state when the data is insufficient.
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.
Macroscopic and structural review of the imaged anatomy.
Subtle pathology and early-disease pattern recognition.
Devices, iatrogenic findings, and imaging-artifact differentiation.
Systematic scan of regions commonly overlooked in routine reads.
Cross-window and sequence correlation across the full study.
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.
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.
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.
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.
Your patient’s data stays in your tenant. Per-customer multi-tenant isolation is enforced at the database layer with Row-Level Security policies; customer data does not flow to other customers, to MindHYVE for cross-customer analytics, or to any model training pipeline. The supporting claim follows: no customer data is used for training, because no customer data ever reaches the training pipeline. Our reasoning capability is built on Eve-Genesis (Clinical 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.
The Fusion of five cooperating reasoning models, augmented by Llama 4 Vision. Microsoft Phi-3 as classifier. Microsoft Phi-4 LoRA-fine-tuned on Eve-Genesis (Clinical Edition) as the clinical reasoner. Anthropic Claude Opus 4.7 and OpenAI GPT-5.4 as frontier slots. Meta Llama 4 Scout for 10M-token longitudinal context.
The architecture absorbs frontier progress rather than being threatened by it. When a new frontier model lands, we swap the slot. The proprietary classifier and the Eve-Genesis-tuned reasoner stay stable.
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