About this Research Topic

Background

This Research Topic has been developed in collaboration with Bridge2AI Voice 2024.

Submissions to this Research Topic are limited to the attendees of the 2024 Bridge2AI Voice Symposium.

"The Bridge2AI Voice Consortium aims to integrate the use of voice as biomarker of health in clinical care to assist in screening, diagnosis, and treatment of a broad range of diseases." (Bridge2AI-Voice, 2024)

You can read and download the symposium abstracts here.

The 2024 Voice Artificial Intelligence Symposium, presented by the Bridge2AI-Voice Consortium, took place on May 1st and May 2nd in Tampa, Florida. Funded by the NIH Common Fund, the Bridge2AI Program aims to propel scientific discovery in biomedicine through the development of standardized and ethically sourced large-scale datasets that are AI-ready. To this end, Bridge2AI-Voice is generating a FAIR and CARE, AI-ready, voice dataset to further scientific discovery in the field of voice biomarkers. The Voice AI Symposium is an annual event hosted by the Bridge2AI-Voice Consortium that unites diverse stakeholders in the field of voice biomarkers to foster meaningful discussions, collaboration, and provide educational training on the use of voice AI in healthcare.

The 2024 Voice AI Symposium featured an innovative and interactive agenda with the goal of highlighting diverse stakeholder voices, including researchers, academics, startups, industry representatives, as well as patient voices. The 2-day event included four interactive panel sessions, five workshops, two keynote speeches, a poster competition, a patient challenge competition, and a startup tech fair.

Four interactive expert panels covered a range of relevant topics including a discussion of the current state and future of voice AI, specific use cases within varying diagnoses, ethical considerations of voice AI, and breaking silos to foster innovation in the field. Each panel consisted of a moderated discussion, followed by live interactive polls with attendees which generated lively and meaningful conversations.

Two keynote speeches also took place from Dr. Rupal Patel of Northeastern University, and Dr. Nicholson Price of the University of Michigan. Keynote speeches highlighted the potential for future use of voice AI, as well as legal and regulatory concerns.
The 2024 Voice AI Symposium also featured five sponsored educational workshops, allowing attendees an in-depth look at specific areas of interest in voice biomarker research such as signal processing, implementation of voice biomarkers, and a look at the Brdige2AI-Voice Protocols.

Within these conference proceedings, you will find summaries of the panels, keynote speeches, and workshops conducted by diverse experts and stakeholders of voice biomarkers.
The mission of Bridge2AI-Voice is to enhance patient outcomes and facilitate scientific progress and discovery through the dissemination of our work. These conference proceedings reflect our consortium’s commitment to the foundational pillars of Bridge2AI including “people”, “ethics”, and “data”, as well as our consortium’s mission to fuel voice as a biomarker for health.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Clinical Trial
• Community Case Study
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• ... View all formats

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Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Clinical Trial
• Community Case Study
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Policy Brief
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: Bridge2AI, Voice AI, Vocal Biomarkers, Proceedings, Society Affiliation RT

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