Smartphone Phonocardiography Trial Opens: Can the ausculto™ Algorithm Detect Congenital Heart Disease Through a Phone Microphone?

References

1. 1.The University of Hong Kong. (2025). Smartphone-based use of phonocardiography for detection of congenital heart disease: Diagnostic performance study (NCT07376785). ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07376785
2. 2.van der Linde, D., Konings, E. E. M., Slager, M. A., Witsenburg, M., Helbing, W. A., Takkenberg, J. J. M., & Roos-Hesselink, J. W. (2011). Birth prevalence of congenital heart disease worldwide: A systematic review and meta-analysis. Journal of the American College of Cardiology, 58(21), 2241–2247. https://doi.org/10.1016/j.jacc.2011.08.025
3. 3.Hoffman, J. I. E., & Kaplan, S. (2002). The incidence of congenital heart disease. Journal of the American College of Cardiology, 39(12), 1890–1900. https://doi.org/10.1016/S0735-1097(02)01886-7
4. 4.Tavel, M. E. (1996). Cardiac auscultation: A glorious past — but does it have a future? Circulation, 93(6), 1250–1253. https://doi.org/10.1161/01.CIR.93.6.1250
5. 5.Chorba, J. S., Shapiro, A. M., Le, L., Maidens, J., Prince, J., Pham, P., Kanzawa, M., Barbosa-Barros, R., Bhatt, D. L., & Ouyang, D. (2021). Deep learning algorithm for automated cardiac murmur detection via a digital stethoscope platform. Journal of the American Heart Association, 10(9), e019905. https://doi.org/10.1161/JAHA.120.019905