# Machine Learning to Reduce Hypertension Treatment Clinical Inertia

> **NCT05406336** · NA · NOT_YET_RECRUITING · sponsor: **Temple University** · enrollment: 50 (estimated)

## Conditions studied

- Hypertension

## Interventions

- **OTHER:** Predicted uncontrolled BP status (yes/no) at follow up visit, derived using a machine learning algorithm

## Key facts

- **NCT ID:** NCT05406336
- **Lead sponsor:** Temple University
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2025-04-25
- **Primary completion:** 2025-05-31
- **Final completion:** 2025-07-31
- **Target enrollment:** 50 (ESTIMATED)
- **Last updated:** 2025-04-10


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05406336

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05406336, "Machine Learning to Reduce Hypertension Treatment Clinical Inertia". Retrieved via AI Analytics 2026-08-13 from https://api.ai-analytics.org/clinical/NCT05406336. Licensed CC0.

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