Soundable’s research on Voided Volume Validation has been published in Nature Scientific Report

Our research on Voided Volume Validation has been published in Nature Scientific Reports under the title 'Validation of an algorithm for sound-based voided volume estimation.' We extend our gratitude to Prof. Gyoohwan Jung, Prof. Sangchul Lee, and Dr. Eric Margolis from Summit Health. Special thanks go to our co-founder and VP of Data Science, Kyeong Yeon Doo, for her exceptional efforts in data collection, algorithm development, and validation.

The study utilized a previous version of the proudP algorithm with a limited dataset, yet it still provided accurate voided volume estimates. This suggests that the current proudP algorithm, developed from the largest real-world urology data, will demonstrate even greater accuracy and reliability. Our research team believes that proudP significantly enhances the patient experience and improves providers' access.

Link to the publication: https://www.nature.com/articles/s41598-023-50499-1

Previous
Previous

Soundable Health joins the Claremont McKenna College’s Data Science Capstone Program

Next
Next

Abstract evaluating the efficacy of BPH transurethral resection using proudP accepted for the 39th Annual EAU Congress