Clinical Decision Support Platform v2.4Real-Time AI

Intelligent Cardiac Auscultation at the Point of Care.

Transform standard stethoscope acoustic data into real-time phonocardiogram triage. Detect valvular murmurs, S3/S4 gallops, and structural anomalies in seconds with on-device AI.

100% Offline On-Device InferenceHIPAA & GDPR CompliantUniversal Stethoscope Support
Auscultation Mode:
Aortic & Mitral Valve (Canonical)
20Hz – 600Hz
72BPM
● Active Sampling
PCG Amplitude [mV]Live Stream
S1 (Mitral/Tricuspid)Quiet SystoleS2 (Aortic/Pulmonic)Quiet Diastole
Neural Engine: 12ms Local NPU✓ Quality: Optimal (99.4%)
AI Classification98.8% Normal

Normal Acoustic Profile

Crisp physiological S1 and S2 valve closure split. No pathological murmurs, gallops, or stenosis signatures detected.

Aortic Stenosis BiomarkerLow (< 0.8%)
Mitral RegurgitationLow (0.5%)
S3 / S4 Gallop AnomalyNegative (0.2%)

Supported by Leading Clinical Research & Technology Ecosystems

DPIIT recognitionIIIT Sonipat partnerMinistry of Electronics and Information TechnologySoftware Technology Parks of IndiaTIDES Business Incubator, IIT RoorkeeMassTech digital health collaborativeMedical Innovation HubHarvard HBS FoundryMass Robotics Health
Next-Generation Clinical Workflow

Overcoming the Limitations of Conventional Auscultation.

Traditional stethoscopes rely on subjective human hearing in noisy clinics. Coeur.AI equips every clinician with objective acoustic spectrograms and instant neural triage.

Clinical ComparisonStandard of Care Upgrade

Transform Subjective Murmur Detection Into Objective Data

Studies show up to 43% of asymptomatic valvular murmurs are missed during standard primary care checkups due to acoustic ambient noise and human ear limitations.

Analog Auscultation
  • High inter-observer variability
  • No permanent acoustic record
  • Dependent on ambient noise level
Coeur.AI Neural Triage
  • Spectrogram PCG visualization
  • Standardized EHR-ready export
  • On-device active noise reduction
< 5 Seconds
Point-of-Care Neural Latency

Coeur.AI executes compressed acoustic neural networks locally on your mobile device. Zero cloud dependency ensures instant triage even in remote clinics or emergency rooms.

Zero patient voice or metadata leaks
Offline AES-256 local encrypted storage
HIPAA & GDPR ReadyiOS & Android

Broad Acoustic Spectrum

Comprehensive cardio-respiratory biomarkers

Aortic Stenosis
Systolic Ejection Murmur
96.8% Acc
Mitral Regurgitation
Holosystolic Murmur
97.2% Acc
S3 / S4 Gallop
Heart Failure Acoustic Marker
95.4% Acc
Wheeze & Crackles
Pulmonary Crackle Detection
96.1% Acc

Trained and benchmarked on over 45,000+ curated and peer-reviewed cardiac sound recordings.

EHR Structured Export

Eliminate manual medical transcription

Generate formatted, audit-ready clinical notes with PCG waveform snippets in one tap. Seamlessly attach to Epic, Cerner, AthenaHealth, or export as encrypted PDF reports for specialist referrals.

Finding:Grade 1/6 Mid-Systolic Flow Murmur
Peak Intensity:2nd Right Intercostal Space
Recommendation:Routine Annual Surveillance
HL7 / FHIR Standard ReadyRequest Demo
Clinical Applications

Empowering Care Across Every Point of the Patient Journey.

From busy outpatient clinics and rural screening drives to inpatient cardiology wards, Coeur.AI seamlessly integrates without altering physical workflow.

Doctor in clinic using digital stethoscope tool
40% earlier triage

Primary Care & OPD

Routine Health Checks & Rapid Triage

Equip primary physicians and nurses to identify silent valvular heart disease and murmurs in under 5 seconds during standard general checkups.

Healthcare worker in a rural setting checking a patient
100% offline ready

Rural & Community Health

Decentralized Screening Camps

In rural clinics and mass outreach programs where cardiologists are unavailable, frontline health workers screen hundreds with automated offline AI grading.

Post-operative patient monitoring home care
Trend longitudinal PCG

Cardiology & Inpatient

Post-Operative & Ward Monitoring

Track acoustic valve restoration and detect prosthetic valve dysfunction or congestive fluid buildup in surgical step-down units.

Point-of-Care Pipeline

From Acoustic Waveform to Diagnostic Certainty in 4 Steps.

Designed by clinicians to eliminate transcription delays and minimize diagnostic variance without changing physical examination habits.

01Connect & Record

Acoustic Capture

Place any standard digital stethoscope on canonical auscultation points (Aortic, Pulmonic, Tricuspid, Mitral).

Connect digital stethoscope and record acoustic PCG stream
02On-Device Inference

Neural Spectral Triage

Deep convolutional models process frequency spectra (20Hz - 2,000Hz) locally in under 12ms with zero cloud delay.

On-device AI analyzing PCG waveform spectra
03Human-in-the-Loop

Clinician Verification

Physicians review automated murmur grading and spectrogram waveforms alongside their patient physical exam.

Physician reviewing AI murmur severity and confidence score
04HL7 / FHIR / PDF

One-Tap EHR Export

Generate structured, audit-ready clinical notes and export encrypted reports directly into EHR systems.

Exporting diagnostic PDF and HL7 EHR report
Clinical Walkthrough

See Coeur.AI in Live Clinical Auscultation

Request Live Demo
Real-Time Auscultation Session • 1080p 60fps
Encrypted Point-to-Point
Validated Clinical Outcomes

Technology That Elevates
Clinical Confidence.

Coeur.AI does not replace clinical judgment; it augments it with instantaneous phonetic telemetry, eliminating subjective hearing variance in fast-paced medical wards.

96.8%
Sensitivity Rate
For hemodynamically significant murmurs
< 5s
Inference Latency
Point-of-care feedback with zero cloud dependency

Rapid Triage Without Cutting Corners

Automated segmentation isolates S1, S2, systolic murmurs, diastolic rumbles, and wheezes in real time during standard physical exams.

Frictionless EHR Integration

One-tap export creates HL7 / FHIR compliant diagnostic attachments for Epic, Cerner, and AthenaHealth, eliminating manual transcription hours.

Absolute Patient Privacy & HIPAA Security

On-device neural inference processes audio strictly in local memory. No audio stream or identifiable health information leaves the physician's handset without explicit consent.

Global Clinical Footprint

Deployable Across Diverse Healthcare Ecosystems.

From high-density tertiary university hospitals in North America and Europe to frontline rural medical centers in Asia, Coeur.AI operates 100% reliably anywhere point-of-care auscultation is performed.

45,000+
Annotated PCG Datasets
Validated against echocardiograms
12+
Clinical Trial Sites
Active research collaborations
< 5s
Inference Latency
Zero cloud bandwidth required
99.9%
Uptime Reliability
Local on-device execution
Coeur.AI global clinical validation footprint and partner network
Active Clinical Research Sites (Boston, Delhi, Roorkee)Primary Care Pilot Deployments
ISO 13485 Quality Management Compliant

Institutional Recognition & Clinical Innovation Backing

Department for Promotion of Industry and Internal Trade (DPIIT)
IIT Roorkee Innovation Center
Ministry of Electronics and IT (MeitY)
Software Technology Parks of India (STPI)
TIDES Technology Business Incubator
MassTech Digital Health
IIIT Sonepat
Harvard HBS Foundry
Mass Robotics Healthcare
Healthcare Innovation Partner
Medical Innovation and Discovery Hub
Department for Promotion of Industry and Internal Trade (DPIIT)
IIT Roorkee Innovation Center
Ministry of Electronics and IT (MeitY)
Software Technology Parks of India (STPI)
TIDES Technology Business Incubator
MassTech Digital Health
IIIT Sonepat
Harvard HBS Foundry
Mass Robotics Healthcare
Healthcare Innovation Partner
Medical Innovation and Discovery Hub
Frequently Asked Questions

Everything You Need to Know About Coeur.AI

Coeur.AI is an AI-powered clinical decision support platform that connects with standard digital stethoscopes to perform real-time phonocardiogram (PCG) acoustic triage. It segments cardiac sound cycles (S1, S2, systole, diastole) and highlights probability signatures for conditions including Aortic Stenosis, Mitral Regurgitation, S3/S4 Heart Failure gallops, and pulmonary adventitious sounds (wheezes and crackles).

All neural network acoustic inferencing is executed 100% locally on the clinician's mobile device via optimized on-device machine learning engines (CoreML / ONNX). No raw patient audio or identifiable health information is streamed to the cloud during auscultation. All locally saved sessions are secured with AES-256 encryption.

Coeur.AI is designed to be hardware-agnostic and supports major standard digital stethoscopes with Bluetooth audio or 3.5mm input capabilities (including Eko Core/Duo, 3M Littmann digital lines, and custom USB-C/Lightning biomedical audio transducers).

Yes. The core diagnostic inference engine is completely self-contained on the device. Clinicians in remote clinics, ambulances, or rural outreach camps can record, analyze, and generate provisional reports with zero active network connectivity.

Yes. Coeur.AI generates standard HL7 / FHIR compliant diagnostic payloads as well as encrypted PDF clinical summaries that can be attached directly into Epic, Cerner, AthenaHealth, or exported for specialist cardiology referrals.

Coeur.AI operates as a Class II Clinical Decision Support (CDS) software under FDA and CE MDR guidelines. It is designed to augment and accelerate trained clinical judgment rather than serve as a standalone diagnostic authority.

You can request an institutional pilot or clinical demonstration through our website. Our medical affairs team assists with device compatibility validation, EHR connector setup, and clinical staff onboarding.

Empower Your Clinical Practice

Bring Instant Neural Auscultation to Your Point of Care.

Join forward-thinking cardiology departments, primary care networks, and global research institutions using Coeur.AI to identify silent valvular lesions earlier.

No credit card required for pilot access
Coeur.AI Application Dashboard and Features Showcase