ASTEREO Trial: AI-Powered Sound Analysis for Early Heart Failure Decompensation Detection — Innovative Remote Monitoring Approach
247 Health News Editorial
·18 May 2026
·3 min read
·clinical-trialsThe ASTEREO trial is investigating whether AI analysis of voice, breathing, and cough sounds can predict heart failure decompensation before symptoms appear. This innovative smartphone-based approach could revolutionise remote monitoring for heart failure patients.
Originally reported by ClinicalTrials.gov
References
- 1.Abraham, W. T., Adamson, P. B., Bourge, R. C., Aaron, M. F., Costanzo, M. R., Stevenson, L. W., Strickland, W., Neelagaru, S., Raval, N., Krueger, S., Weiner, S., Shavelle, D., Jeffries, B., & Yadav, J. S. (2011). Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial. The Lancet, 377(9766), 658-666. https://doi.org/10.1016/S0140-6736(11)60101-3
- 2.Cambridge University Hospitals NHS Foundation Trust. (2024). Utilising AI Analysis of Sounds To prEdict heaRt failurE decOmpensation. ClinicalTrials.gov. NCT06555757. https://clinicaltrials.gov/study/NCT06555757
- 3.Conrad, N., Judge, A., Tran, J., Mohseni, H., Hedgecott, D., Crespillo, A. P., Allison, M., Hemingway, H., Cleland, J. G., McMurray, J. J. V., & Rahimi, K. (2018). Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individuals. The Lancet, 391(10120), 572-580. https://doi.org/10.1016/S0140-6736(17)32520-5
- 4.Koehler, F., Winkler, S., Schieber, M., Sechtem, U., Stangl, K., Böhm, M., Boll, H., Baumann, G., Honold, M., Koehler, K., Gelbrich, G., Kirwan, B. A., & Anker, S. D. (2011). Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure. Circulation, 123(17), 1873-1880. https://doi.org/10.1161/CIRCULATIONAHA.111.018473
- 5.Segar, M. W., Patel, K. V., Ayers, C., Basit, M., Tang, W. H. W., Willett, D., Berry, J., Grodin, J. L., & Pandey, A. (2019). Phenomapping of patients with heart failure with preserved ejection fraction using machine learning-based unsupervised cluster analysis. European Heart Journal, 40(47), 3843-3852. https://doi.org/10.1093/eurheartj/ehz621
- 6.Yancy, C. W., Jessup, M., Bozkurt, B., Butler, J., Casey, D. E., Colvin, M. M., Drazner, M. H., Filippatos, G. S., Fonarow, G. C., Givertz, M. M., Hollenberg, S. M., Lindenfeld, J., Masoudi, F. A., McBride, P. E., Peterson, P. N., Stevenson, L. W., & Westlake, C. (2017). 2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure. Circulation, 136(6), e137-e161. https://doi.org/10.1161/CIR.0000000000000509
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