# Applying Artificial Intelligence to the 12 Lead ECG for the Diagnosis of Pulmonary Hypertension: an Observational Study

> **NCT05942859** · — · ENROLLING_BY_INVITATION · sponsor: **Royal United Hospitals Bath NHS Foundation Trust** · enrollment: 600 (estimated)

## Conditions studied

- Pulmonary Hypertension (Diagnosis)

## Interventions

- **DIAGNOSTIC_TEST:** Artificial Intelligence and Machine Learning technology

## Key facts

- **NCT ID:** NCT05942859
- **Lead sponsor:** Royal United Hospitals Bath NHS Foundation Trust
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ENROLLING_BY_INVITATION
- **Start date:** 2023-10
- **Primary completion:** 2024-08
- **Final completion:** 2027-08
- **Target enrollment:** 600 (ESTIMATED)
- **Last updated:** 2023-10-05

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05942859

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05942859, "Applying Artificial Intelligence to the 12 Lead ECG for the Diagnosis of Pulmonary Hypertension: an Observational Study". Retrieved via AI Analytics 2026-06-25 from https://api.ai-analytics.org/clinical/NCT05942859. Licensed CC0.

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