# Detection of Aortic Stenosis With Smartphone Auscultation Using Machine Learning (HEARTBEAT-Pilot)

> **NCT06404437** · — · ACTIVE_NOT_RECRUITING · sponsor: **Friedrich-Alexander-Universität Erlangen-Nürnberg** · enrollment: 100 (actual)

## Conditions studied

- Aortic Valve Stenosis

## Interventions

- **DIAGNOSTIC_TEST:** Auscultation

## Key facts

- **NCT ID:** NCT06404437
- **Lead sponsor:** Friedrich-Alexander-Universität Erlangen-Nürnberg
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ACTIVE_NOT_RECRUITING
- **Start date:** 2023-03-09
- **Primary completion:** 2024-05-22
- **Final completion:** 2026-03-01
- **Target enrollment:** 100 (ACTUAL)
- **Last updated:** 2025-12-24

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06404437

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06404437, "Detection of Aortic Stenosis With Smartphone Auscultation Using Machine Learning (HEARTBEAT-Pilot)". Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/clinical/NCT06404437. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*
