NEXT STEPS

If you’ve been directed to this page after signing your consent form to participate in the Mayo Clinic Heart and Voice Study, your next step is to download the Mayo Clinic CV Research app. If you want to use your mobile device in the study, use the link below depending on the type of mobile device you have:

Log into the CV Research app using your Mayo Clinic patient services account username and password.

Artificial intelligence to detect cardiovascular disease

Voice signal analysis is an emerging noninvasive diagnostic tool.

Overview

Researchers at Mayo Clinic are testing the usefulness and accuracy of collecting patient voice signals to detect the presence of cardiovascular disease. The study is named Evaluation of Voice and ECG Transmission and AI Models Using Voice, ECG and Health Data Collected Using a Mayo Clinic Center for Digital Health (CDH)-Developed App for a Repository: Mayo Clinic CV Research for Heart and Voice Study — or Heart and Voice Study for short. It is one of the first studies to suggest an association between voice characteristics and cardiovascular disease.

Those selected to participate in the study receive an invitation in their patient portal. It explains the process and provides instructions for participating.

Voice features analysis could help healthcare professionals evaluate a patient's health and well-being. The data collected from this study may be used to obtain regulatory approvals or develop products to detect cardiovascular and non-cardiovascular health conditions.

Key facts about the Mayo Clinic Heart and Voice Study:

  • Your voice will only be recorded while you are actively using the app, and you will be aware at that time that your voice is being recorded for research.
  • Investigators will not interpret data for participants.
  • A mobile app will notify participants when general study results are published.
  • Participants will not receive results about their health.
  • Participants' speech samples will not be a part of their health records. Access to speech data will be restricted, monitored, and logged.
  • To build diagnostic tools, Mayo Clinic researchers may work with researchers at other academic institutions or for-profit companies. Participants' voices, as well as ECG and health data, may be shared as part of this work. Mayo Clinic will not share identifiable information, such as participants' names, dates of birth or addresses.
  • Even without any other information, there is a risk in sharing speech data. That's because participants could be identified based on their voiceprints.
  • Researchers may share data as part of a data-sharing agreement. This agreement requires that participants' speech data be stringently protected. It also prohibits further sharing or disclosure of their data for purposes not related to this study.

About the Mayo Clinic Heart and Voice Study

Hello, I’m doctor Bradley Leibovich, medical director of the Center for Digital Health at Mayo Clinic.

We’re exploring whether the characteristics in a person’s voice can be used to identify otherwise undetected heart disease, among other conditions.

Imagine a future where a simple voice recording made on a smartphone from the comfort of your home can alert you and your doctor to early heart disease while it can be effectively treated and complications prevented.

Early evidence suggests this is possible. And we’re doing a study to test this hypothesis. Inviting people with and without medical conditions to participate.

Because your vocal cords have a rich blood supply, nerve supply and depend on airflow from your lungs, many conditions result in subtle changes in your voice that may not be detectable to human ears.

These changes are present irrespective of the language you speak or your accent. Artificial intelligence, or AI, has the potential to detect these changes using voice as an early warning signal for the presence of heart disease.

In simple terms, our goal is to use computer algorithms to look for patterns and voice samples. To do this, we need large volumes of data. The more voice samples and health data we can analyze, the more accurate the AI becomes.

This study has the potential to revolutionize healthcare by developing ways to identify disease much earlier than traditional methods which could dramatically improve treatment outcomes.

The app only records voice while it’s in use, and the user is actively intentionally recording a sample.

Participation will take only seconds - a day when you choose to contribute.

Thank you for considering partnering with us in this research. Together, we can discover new and better ways to detect, predict and prevent disease.