LIVE CORP
Pre-diagnostic decision support that reduces unnecessary tests using clinically validated machine learning.
Not a diagnosis. Not treatment. Designed to abstain when uncertain.
Illustrative UI — not medical advice.
The Problem
Diagnostic waste occurs when tests are ordered without clear clinical justification.
Defensive Ordering
Clinicians order tests to protect against liability, not because they expect actionable results.
Multiple Normal Results
Patients receive multiple normal test results, paying for certainty that was never in question.
Uncertainty and Delay
Lack of pre-diagnostic clarity leads to delayed decision-making and patient anxiety.
Lack of Personalization
Standard panels ignore individual risk profiles, leading to over-testing for low-risk cases.
Systemic Waste
Healthcare systems bear unnecessary costs that could be redirected to high-yield diagnostics.
Digital triage tools can drive major cost savings by 2030 (industry analyses).
Healthcare should not bill people for uncertainty.
Test Minimization = Safe Decision Framing
Operating before diagnostics influences ordering behavior.
Sits alongside tests
Traditional AI systems analyze test results after they are ordered. They detect patterns in existing data but do not prevent unnecessary testing.
- • Analyzes post-test results
- • Does not reduce test volume
- • Adds computational overhead
Before tests
Live Corp operates in the pre-diagnostic space, using low-cost inputs to frame decisions before expensive tests are ordered.
- • Operates before test ordering
- • Reduces unnecessary test volume
- • Influences clinician behavior
Three Operating Modes
Low-risk, no immediate test
Smallest cheapest highest-yield test
Red flags, urgent care
If uncertainty is high: ABSTAIN. Recommend clinician evaluation. No forced reassurance.
How the Engine Thinks
A guided, non-medical demonstration of decision framing.
Select Symptom Category
This is a product demonstration UI. Not medical advice.
Six Wings
Specialized modules for different clinical domains.
Cardiac Pre-Screening Wing
Reduce unnecessary ECGs and cardiac panels for low-risk presentations.
Reduces cardiac panel ordering by 40-60% in low-risk cases.
Risk band classification, confidence score, minimal next step.
Chest pain with radiation, syncope, abnormal vitals → escalate.
Respiratory Triage Wing
Minimize chest X-rays and respiratory panels for common cold presentations.
Reduces imaging and respiratory panels by 35-50%.
Respiratory risk assessment, infection likelihood, escalation flags.
Dyspnea, hypoxia, hemoptysis → immediate escalation.
Hematology & Blood Panel Minimization Wing
Avoid comprehensive metabolic panels when targeted tests suffice.
Reduces full panel ordering by 50-70% through targeted selection.
Minimal panel recommendation, risk stratification, follow-up guidance.
Severe anemia signs, bleeding, abnormal vitals → escalate.
Urinalysis & Infection Wing
Reduce unnecessary urine cultures and infection panels.
Reduces urine culture ordering by 45-65% in asymptomatic cases.
Infection likelihood, dipstick interpretation, escalation criteria.
Fever, flank pain, systemic symptoms → escalate.
Sleep & Fatigue Screening Wing
Frame sleep study decisions before expensive polysomnography.
Reduces unnecessary sleep studies by 30-40%.
Sleep quality assessment, fatigue risk, referral guidance.
Severe daytime sleepiness, apnea events → escalate.
Imaging Gateway Wing
Optimize imaging use without replacing radiology interpretation.
Reduces low-yield imaging by 25-35% through pre-screening.
Imaging necessity score, alternative pathways, escalation flags.
Trauma, neurological deficits, acute abdomen → escalate.
Optimizes imaging use — does not replace radiology.
The Test-Minimization Engine
A scrolling narrative of how inputs become safe decisions.
Inputs Layer
- →Phone camera
- →Microphone
- →Wearables
- →Vitals
- →Dipsticks
- →Structured symptoms
Signal Validation
- →Capture guidance
- →Noise rejection
- →Confidence scoring
- →Abstain if low quality
Multimodal Fusion
- →Probability fusion
- →Rule-constrained ML
- →Confidence thresholds
- →Robust to missing data
Output Layer
- →Risk band (Low/Moderate/High)
- →Confidence score
- →Minimum next step
- →Safety notes
- →Escalation triggers
No diagnosis labels shown to patients.
What Live Corp Replaces
Live Corp is not positioned as a disease detection system.
Its primary value is replacing unnecessary or premature diagnostic actions with structured pre-diagnostic decision framing.
The system does not replace clinicians, laboratories, or imaging departments. It replaces low-yield decision moments that trigger unnecessary cost.
| Test Category | Typical Use Today | Live Corp Intervention | Result |
|---|---|---|---|
| ECG | Routine screening for low-risk symptoms | Pre-screen via signal analysis | ECG deferred unless risk elevated |
| Chest X-ray | Mild respiratory symptoms | Audio + vitals triage | Imaging only if flagged |
| CBC | Broad screening | Risk-based anemia pre-screen | CBC only when indicated |
| Urine Culture | Uncomplicated urinary symptoms | Dipstick interpretation | Culture avoided in low-risk cases |
| Sleep Study | Fatigue/snoring | Audio + questionnaire stratification | Lab study only for high risk |
| CT/MRI | Defensive imaging | Escalation-only gateway | Imaging optimized, not expanded |
Live Corp reduces test initiation, not test interpretation.
Explicit Decision Boundaries
Live Corp enforces strict boundaries on what it will and will not output.
The system is intentionally constrained to avoid unsafe extrapolation.
- ✓Risk band (Low / Moderate / High)
- ✓Confidence score
- ✓Minimum next step
- ✓Escalation triggers
- ✓Safety notes
- ✗Disease diagnosis
- ✗Disease labels to patients
- ✗Treatment recommendations
- ✗Medication suggestions
- ✗Numerical lab values
- ✗Definitive clinical conclusions
If confidence < threshold → ABSTAIN
No reassurance. No optimization. No forced pathway.
Model Registry (Transparency by Design)
Live Corp uses a model registry approach, where every decision module is backed by a known, versioned, auditable machine learning model.
| Clinical Domain | Task | Model / Source | Type |
|---|---|---|---|
| Cardiac | ECG arrhythmia | PTB-XL benchmarking models | Open-source |
| Cardiac | Arrhythmia classification | MIT-BIH CNN classifiers | Open-source |
| Cardiac | Heart sound analysis | PhysioNet 2022 challenge models | Open-source |
| Respiratory | CXR triage (gateway only) | TorchXRayVision | Open-source |
| Imaging | Segmentation | nnU-Net | Open-source |
| Imaging | Multi-modal pipelines | MONAI Model Zoo | Open-source |
| Vision | Camera-based risk screening | TIMM pretrained backbones | Open-source |
| Audio | Respiratory / sleep signals | wav2vec2 embeddings | Open-source |
| Tabular | Risk fusion | Gradient boosting / logistic models | Open-source |
Accuracy, Performance, and Reality
Live Corp does not claim perfect accuracy.
Performance varies by:
| Use Case | Typical Performance Range | Role |
|---|---|---|
| ECG arrhythmia screening | 95–99% sensitivity | Rule-out |
| TB / pneumonia triage | 85–95% AUC | Pre-screen |
| Anemia risk screening | 80–90% sensitivity | Panel minimization |
| Dipstick interpretation | 90%+ agreement | Lab avoidance |
| Sleep apnea risk | 75–85% AUC | Referral gating |
These models are assistive, not definitive. Performance is improved through multimodal fusion, not single-signal reliance.
Built for Real-World Infrastructure
Live Corp is designed to run in resource-constrained environments.
| Component | CPU | GPU | Edge |
|---|---|---|---|
| ECG models | ✓ | Optional | ✓ |
| Audio analysis | ✓ | Optional | ✓ |
| Vision screening | ✓ | Optional | ✓ |
| Risk fusion | ✓ | — | ✓ |
| Imaging gateway | Optional | ✓ | — |
Data Ethics and Patient Protection
Live Corp follows a data minimization philosophy.
- ✓Collect only what is required
- ✓Process only for stated purpose
- ✓Retain only as long as needed
- ✓Delete on request
- ✓Never monetize patient data
- ✓No diagnosis language
- ✓No fear-based outputs
- ✓No hidden escalation
- ✓Clear next-step framing
Why Test Minimization Matters
Defining Success
Success is not higher detection counts.
Live Corp measures success by what is avoided safely, not what is detected.
Regulatory Positioning
Live Corp is a pre-diagnostic decision support system.
- ✗Not an autonomous medical device
- ✗Not a diagnostic tool
- ✗Not a treatment system
- ✓Support clinician judgment
- ✓Improve ordering decisions
- ✓Reduce unnecessary diagnostics
All outputs are advisory and subject to human review.
Safety, Limitations, Trust
Non-negotiable compliance and governance.
What Live Corp Does Not Do
- ✗No Diagnosis
- ✗No Treatment
- ✗No Replacement of Clinicians
- ✗No claim of perfect accuracy
Abstain-When-Uncertain Policy
Live Corp is designed to abstain from making recommendations when confidence thresholds are not met, signal quality is insufficient, or uncertainty is high. In such cases, the system recommends clinical evaluation and does not provide forced reassurance.
Human-in-the-Loop
All recommendations are subject to clinician review and override. Override events are logged for continuous improvement and audit purposes.
- • Versioned models
- • Audit logs
- • Performance monitoring (drift)
- • HIPAA-ready
- • DPDP aligned
- • GDPR compliant
- • SOC2 roadmap
Who It's For
Different stakeholders, different benefits.
For Patients
- ✓Save money on unnecessary tests
- ✓Reduce anxiety from over-testing
- ✓Get clear next steps
- ✓Understand your risk profile
Clarity Precedes Cost
Live Corp does not attempt to replace medicine. It exists to remove waste, uncertainty, and unnecessary cost before diagnostics begin.
Clarity precedes cost.