Medical AI Diagnostics
We deploy secure, auditable artificial intelligence pipelines into diagnostic imaging and ECG systems. Our team audits deep learning classifiers for error margins, clinical equity, and regulatory compliance standards.
See the technology in action
Interact with our live system simulator below. This is a real-time preview of the core telemetry engine powering Medical AI Diagnostics.
Quantifiable patient outcomes, validated in production
Unlike static features lists, Dr Zoe Little HealthTech platforms deliver core diagnostic and workflow metrics validated by clinic experts.
Arrhythmia Detection
Detects anomalous ECG spikes and flags arrhythmia indicators for cardiologists to review.
Diagnostic Error Safety Gate
AI validation checks outputs against standard baseline heuristics, serving as a persistent digital safety net.
Urgency Triage Sorting
Flags and bubbles high-acuity arrhythmia readouts to the top of the queue, shortening diagnosis lead-time.
Clinical Workflow Explorer
Trace patient health logs through our telemetry sequence. Click each step to audit active processing gates.
A patient records check-in has initiated. Payload contains encrypted demographics, health cards, and active triage flags.
{
"event": "patient.intake",
"source": "portal-gateway",
"patient_id": "pat-ai--992",
"triage_priority": "routine",
"payload_encrypted": "AES_256_GCM_OK"
}Regulatory compliance benchmarks, verified
Dr Zoe Little HealthTech platforms enforce active patient protection rules across all configurations.
Fully compliant with 45 CFR Part 160 and Part 164. All Protected Health Information (PHI) is isolated, audit-logged, and encrypted, adhering to strict regulatory security standards.
System Architecture
A clean boundary overview showing data dispatches, edge processing, and database validation pools.
Cluster Specifications
Active database triggers and routing thresholds configured for cloud architecture parameters.