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Remote monitoring and artificial intelligence in treating patients with heart failure

2025-09-15 13:30:08 英文原文

作者：by Cedars-Sinai Medical Center

home blood pressure check
Credit: Pixabay/CC0 Public Domain

An artificial intelligence (AI) program created by Cedars-Sinai may reduce hospitalizations in people diagnosed with heart failure, a new study reports.

The study, published in JACC: Heart Failure, included 50 people who had been diagnosed with a condition called heart failure with reduced , in which the heart's main pumping chamber, the , becomes too weak to circulate blood throughout the body.

For three months, patients used a to transmit home blood pressure readings to their cardiologists. The blood pressure readings were analyzed by an AI program that generated prescribing recommendations to the cardiologists, such as whether a new drug should be added or a dosage changed. The software, named HF-AI (for heart failure AI) was trained using data from Cedars-Sinai patients with heart failure between 2020 to 2022 and incorporates national and international heart failure guidelines.

Cardiologists accepted HF-AI medication and dose recommendations 90.8% of the time. This meant they more than doubled their use of guideline-directed heart failure medications. The program also dramatically decreased hospitalizations. Among the 50 enrolled patients, 23 were hospitalized in the six months before enrolling in the trial. In the six months after the intervention, only six were hospitalized, a 74% reduction.

Investigators plan to use and study the program with more Cedars-Sinai patients.

"People with are among our most fragile patients, with extremely high risk of hospitalization and death," said first author and co-inventor Raj Khandwalla, MD, division chief of Cardiology at Cedars-Sinai Medical Group and director of Digital Therapeutics at the Smidt Heart Institute. "By translating home blood pressure data into treatment advice, HF-AI lets us fine-tune medications sooner and keep more patients out of the hospital."

More information: Raj M. Khandwalla et al, Optimizing Medical Therapy Using Remote Monitoring and Artificial Intelligence in Patients With Heart Failure, JACC: Heart Failure (2025). DOI: 10.1016/j.jchf.2025.03.045

Citation: Remote monitoring and artificial intelligence in treating patients with heart failure (2025, September 15) retrieved 17 September 2025 from https://medicalxpress.com/news/2025-09-remote-artificial-intelligence-patients-heart.html

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摘要

An AI program developed by Cedars-Sinai has shown potential in reducing hospitalizations for heart failure patients. The program, named HF-AI, analyzed home blood pressure readings from 50 participants with heart failure and generated medication recommendations for cardiologists. Over a three-month period, the acceptance rate of these recommendations was 90.8%, leading to a significant increase in guideline-directed medications and a 74% reduction in hospitalizations compared to pre-trial rates. The study, published in JACC: Heart Failure, highlights the program's potential for improving patient care outside of hospital settings.

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