Temple University — Biomedical Watch V2

Traitements2programmes

Essais1liés

Publications1liées

SourceDBlocale

Traitements

2

Molécule	Indication / population	Phase	Objectif	Pays	Résultat
Machine Learning to Reduce Hypertension Treatment Clinical InertiaAmong individuals with an uncontrolled BP at the current visit, the objective of this study is to compare clinical management of hypertension with and without information from a machine learning algorithm on whether a patient will have uncontrolled blood pressure at their next follow up visit through a case-vignette study.	Hypertension	NA	À vérifier		À vérifier
Machine Learning to Reduce Hypertension Treatment Clinical InertiaAmong individuals with an uncontrolled BP at the current visit, the objective of this study is to compare clinical management of hypertension with and without information from a machine learning algorithm on whether a patient will have uncontrolled blood pressure at their next follow up visit through a case-vignette study.	Hypertension	NA	À vérifier		À vérifier

Essais cliniques

1

Molécule	Indication / population	Phase	NCT	Titre	Statut
Machine Learning to Reduce Hypertension Treatment Clinical Inertia	Hypertension	NA	NCT05406336	Machine Learning to Reduce Hypertension Treatment Clinical Inertia	NOT_YET_RECRUITING

Publications

1

Molécule	Indication / population	Titre	Journal	Date
Machine Learning to Reduce Hypertension Treatment Clinical Inertia		Artificial Intelligence and Advanced Digital Health for Hypertension: Evolving Tools for Precision Cardiovascular Care.	Medicina (Kaunas, Lithuania)