9+1AI provides an AI‑powered platform that analyzes acoustic recordings of heartbeats to detect and classify cardiac anomalies such as murmurs and abnormal rhythms. Clinicians capture a short audio clip with a standard or digital stethoscope, and the system delivers a real‑time report with findings, confidence scores, and visualizations, integrating securely with electronic health records via HL7/FHIR.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians often rely on subjective interpretation of heart sounds, which can miss subtle murmurs or abnormal rhythms, leading to delayed diagnosis of cardiac conditions.
Solution
9+1AI offers an artificial‑intelligence platform that analyzes acoustic recordings of heartbeats to identify and classify cardiac anomalies. Users capture a short audio clip with a standard stethoscope or a compatible digital recorder; the AI model processes the signal in real time, extracting features such as timing, frequency, and intensity. The system then generates a concise report indicating normal versus abnormal findings, potential murmur types, and confidence scores. Results are delivered via a secure web interface that integrates with electronic health records, enabling clinicians to augment their auscultation assessments with objective, data‑driven insights.
Target Audience
Primary users are primary care physicians, cardiologists, and tele‑medicine providers who perform cardiac auscultation and need rapid, objective interpretation of heart sounds.
Features
- Deep‑learning model trained on thousands of annotated heart sound recordings for murmur detection and classification
- Real‑time analysis with results displayed within seconds of recording
- Compatibility with conventional stethoscopes equipped with Bluetooth or wired audio output
- Automated quality assessment to flag noisy or incomplete recordings
- Secure cloud‑based reporting dashboard with EHR integration via HL7/FHIR APIs
- Visual spectrogram and waveform visualizations to aid clinician review