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.

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  • 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

  • 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)

  • 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

  • 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

  • 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

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.

  • Normal: >50 ms
  • Indicates: Overall cardiac health and autonomic regulation
  • Clinical Use: Stress assessment, cardiac risk stratification
  • Reflects: Parasympathetic (relaxation) nervous system activity
  • Clinical Use: Recovery from stress, sleep quality, mental health
  • Scale: 1-10 (1 = relaxed, 10 = severe stress)
  • Based on: HRV analysis + heart rate patterns
  • Clinical Use: Mental health screening, burnout prevention
  • Ideal Ratio: ~5 (heart rate / respiration rate)
  • Indicates: Mind-body balance, autonomic coordination
  • Clinical Use: Traditional medicine integration, wellness optimization
  • Mental Health
  • Cardiovascular
  • Integrative Medicine
  • 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

Data Inputs

  • Vital signs history (AI face scanning + IoT devices)
  • EMR data (diagnoses, medications, procedures)
  • Lab results trends
  • Family health history
  • Demographic and lifestyle factors

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

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 probability (next 12 months)
  • Diabetes onset risk
  • Cardiac event likelihood
  • Stroke risk assessment
  • Mental health deterioration warning

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