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Non-invasive Point-of-care Diagnosis Using Machine Learning and Signal Analytics to Transform Early Detection of Heart Disease
NAThis study is designed as a repository study to collect resting cardiac pha...
Location
Atlanta Heart Specialists
TPF Machine Learning Algorithms
N/ATo adopt a machine learning technique to decide whether operative or non-op...
Machine-Learning Algorithm for Prediction of Blood Pressure, Glycated Haemoglobin and Estimated Glomerular Filtration Rate
N/AThis is a non-interventional pilot study with the following objectives:
* ...
The Aspirometer: A Noninvasive Tool for Detecting Aspiration Aim 3
NAThis investigation evaluates the effectiveness of a device called the Aspir...
Location
University of Pittsburgh Medical Center Oakland campus
Prediction of 30-Day Readmission Using Machine Learning
N/AThis is a retrospective observational study drawing on data from the Brigha...
Location
Brigham and Women's Hospital
Testing a Music Listening mHealth Intervention for Stress Reduction in Early Recovery (CalmiFy II)
NAThe overarching goal of this study is to develop and examine the feasibilit...
Location
Multiple Locations
Machine Learning Assisted Differentiation of Low Acuity Patients at Dispatch
NABACKGROUND:
At Emergency Medical Dispatch (EMD) centers, Resource Constrai...
Location
VÀstmanland hospital VÀsterÄs
Using Reinforcement Learning to Personalize Electronic Health Record Tools to Facilitate Deprescribing
NAThe overall goal of the proposed research is to refine and adapt and perfor...
Integrating an AI-Driven Hydronephrosis Decision-Making Tool
NAHydronephrosis is a common congenital kidney anomaly. While most cases reso...
Location
Multiple Locations
Large Language Models To Improve the Quality of Care of Cardiology Patients
NAThis study evaluates the impact of large language models (LLMs) versus trad...