AI Vital Sign Monitoring
Medical-Grade Vital Signs from a Video Call — No Wearables Required
Doccure’s AI-powered face scanning technology extracts 10+ vital signs in real-time during video consultations using computer vision and machine learning. Patients need nothing more than a smartphone camera.
How It Works
- Patient joins video consultation — No special setup required
- AI analyzes facial micro-expressions — Detects blood flow patterns under skin
- Extracts vital signs in real-time — Blood pressure, heart rate, respiration, stress levels
- Doctor sees live data on dashboard — Integrated with EMR automatically
- Historical trends analyzed — AI identifies anomalies and health risks
Vitals Measured
- Blood Pressure (Systolic/Diastolic)
- Heart Rate (BPM)
- Respiration Rate (breaths/min)
- Oxygen Saturation (SpO2 estimate)
- Heart Rate Variability (HRV SDNN, RMSSD)
- Stress Level (Baevsky Index, 1-10 scale)
- Pulse-Respiration Quotient
Mean RRi (cardiac intervals)
Clinical Applications
- Pre-consultation risk screening
- Chronic disease monitoring (hypertension, diabetes, cardiac)
- Mental health assessment (stress, anxiety)
- Post-operative remote monitoring
- Elderly care with automated alerts
- Preventive health tracking
Benefits
- No equipment costs — Patients don’t buy wearables
- 100% patient compliance — Automatic capture, no user action needed
- Insurance claim support — AI-verified vitals strengthen claims
- Early intervention — Detect deterioration before crisis
- Premium positioning — Differentiate from competitors
Accuracy & Validation
- Clinical validation against FDA-cleared devices
- Peer-reviewed research backing
- Medical-grade accuracy within acceptable margins
- Continuous AI model improvement
Face Scanning Technology
The Science Behind Contactless Health Monitoring

The Science Behind Contactless Health Monitoring
- Facial Detection & Tracking — Multi-face tracking with 68-point landmark detection
- Region of Interest (ROI) Isolation — Focus on forehead, cheeks, nose for optimal signal
- Photoplethysmography (PPG) Signal Extraction — Detect subtle color changes from blood flow
- Noise Reduction & Filtering — Remove motion artifacts, lighting variations
- Vital Sign Calculation — FFT analysis, peak detection, waveform analysis
- Machine Learning Enhancement — Neural networks improve accuracy over time

What Makes It Unique:
- Multi-vital simultaneous extraction — Not just heart rate
- Works during natural conversation — No need to stay still
- Adapts to skin tones — Validated across diverse populations
- Low bandwidth optimized — Works on 3G connections
- Offline-capable — Basic processing on-device
SEE DEMO VIDEO— How face scanning extracts vitals
Stress & HRV Analysis
Quantify Mental Health and Autonomic Nervous System Function
What Is HRV? Heart Rate Variability measures the variation in time between heartbeats. Higher HRV indicates better stress resilience, cardiovascular fitness, and autonomic nervous system balance.
Metrics Captured: HRV SDNN (Standard Deviation of NN Intervals)
- Normal: >50 ms
- Indicates: Overall cardiac health and autonomic regulation
- Clinical Use: Stress assessment, cardiac risk stratification
RMSSD (Root Mean Square of Successive Differences)
- Reflects: Parasympathetic (relaxation) nervous system activity
- Clinical Use: Recovery from stress, sleep quality, mental health
Stress Index (Baevsky Method)
- Scale: 1-10 (1 = relaxed, 10 = severe stress)
- Based on: HRV analysis + heart rate patterns
- Clinical Use: Mental health screening, burnout prevention
Pulse-Respiration Quotient (PRQ)
- Ideal Ratio: ~5 (heart rate / respiration rate)
- Indicates: Mind-body balance, autonomic coordination
- Clinical Use: Traditional medicine integration, wellness optimization
Clinical Applications
- Mental Health
- Cardiovascular
- Integrative Medicine
Benefits for Practitioners
- Objective mental health data — Beyond subjective self-reports
- Traditional medicine validation — Quantify holistic treatments
- Preventive care tool — Identify stress before physical symptoms
- Patient engagement — Visual feedback motivates behavior change
Predictive Health Analytics
AI That Predicts Health Risks Before They Become Crises
Doccure Predictive AI — How It Works (Flowchart Format)
- Vital Signs History (AI face scan + IoT devices)
- EMR Data (diagnoses, meds, procedures)
- Lab Result Trends
- Family Health History
- Demographics & Lifestyle Factors
How it Works
AI Analysis
- Pattern recognition across anonymized patient datasets
- Risk scoring algorithms for major conditions
- Vital trend detection per individual
- Outcome prediction via similar patient profiles
AI Analysis
- Pattern recognition across anonymized patient datasets
- Risk scoring algorithms for major conditions
- Vital trend detection per individual
- Outcome prediction via similar patient profiles
Predictions Generated Disease Risk Scoring
- Hypertension (12-month forecast)
- Diabetes onset risk
- Cardiac / stroke probability
- Mental health decline alert
Predictions Generated Disease Risk Scoring
- Hypertension (12-month forecast)
- Diabetes onset risk
- Cardiac / stroke probability
- Mental health decline alert
Predictions Generated
Disease Risk Scoring
- Appointment no-show prediction
- High-utilization patient identification
- Emergency visit risk flagging
Disease Risk Scoring
- Hypertension probability (next 12 months)
- Diabetes onset risk
- Cardiac event likelihood
- Stroke risk assessment
- Mental health deterioration warning
Readmission Risk
- Post-discharge complications
- Medication non-adherence
- Care plan compliance
Readmission Risk
- Post-discharge complications
- Medication non-adherence
- Care plan compliance
Treatment Outcome Prediction
- Medication efficacy
- Surgical success probability
- Therapy response
Treatment Outcome Prediction
- Medication efficacy
- Surgical success probability
- Therapy response
Resource Optimization
- Post-discharge complications
- Medication non-adherence
- Care plan compliance
Resource Optimization
- Appointment no-show prediction
- High-utilization patient identification
- Emergency visit risk flagging
Clinical Workflow Integration
For Doctors
- Risk scores displayed in patient dashboard
- Automated clinical decision support
- Preventive intervention recommendations
- Referral suggestions to specialists
For Doctors
- Risk scores displayed in patient dashboard
- Automated clinical decision support
- Preventive intervention recommendations
- Referral suggestions to specialists
For Patients
- Personalized health risk reports
- Preventive care plan recommendations
- Lifestyle modification suggestions
- Screening schedule optimization
For Patients
- Personalized health risk reports
- Preventive care plan recommendations
- Lifestyle modification suggestions
- Screening schedule optimization
For Administrators
- Population health risk mapping
- Resource allocation optimization
- Care management program targeting
- Quality metric improvement
For Administrators
- Population health risk mapping
- Resource allocation optimization
- Care management program targeting
- Quality metric improvement
Clinical Decision Support That Makes Doctors Better

Core Features
- Symptom & Diagnosis Support – AI analyzes symptoms, vitals, and history to suggest ranked diagnoses.
- Imaging Analysis – Detects fractures, tumors, hemorrhage, retinopathy, and skin lesions.
- Lab Interpretation – Flags abnormalities, tracks trends, and adjusts for demographics.
- Medication Safety – Checks interactions, allergies, dosages, and duplicate therapies.
- Treatment Guidance – Recommends evidence-based, personalized, and cost-effective protocols.
- Documentation Assistant – Voice-to-text notes, ICD coding, discharge summaries, referrals.

Benefits for Doctors
- Reduced cognitive load — AI handles routine pattern matching
- Fewer diagnostic errors — Second opinion from AI
- Faster consultations — Automated documentation and coding
- Continuous learning — AI suggests latest evidence-based protocols
- Medicolegal protection — Documented decision support trail