Evidence map›Paper›PMID 40212896›Full record

ReviewFrontiers in digital health2025

Interactive Panel Summaries of the 2024 Voice AI Symposium.

Jean-Christophe Bélisle-Pipon, James Anibal, Ruth Bahr, Steven Bedrick, Oita Coleman, David Dorr, Barbara J Evans, Guy Fagherazzi, Alexander Gelbard, Satrajit Ghosh and 24 more

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

34 authors.

Jean-Christophe Bélisle-PiponFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
James AnibalCenter for Interventional Oncology, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, United States.
Ruth BahrDepartment of Communication Sciences & Disorders, University of South Florida, Tampa, FL, United States.
Steven BedrickDepartments of Medical Informatics and Clinical Epidemiology and Medicine, Oregon Health and Science University, Portland, OR, United States.
Oita ColemanOpen Voice TrustMark Initiative, Apex, NC, United States.
David DorrDepartments of Medical Informatics and Clinical Epidemiology and Medicine, Oregon Health and Science University, Portland, OR, United States.
Barbara J EvansLevin College of Law, University of Florida, Gainesville, FL, United States.
Guy FagherazziDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Alexander GelbardDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, United States.
Satrajit GhoshMcGovern Institute for Brain Research, Massachusetts Institute of Technology, MIT, Cambridge, MA, United States.
Anita HoBioethics Program, University of California San Francisco, San Francisco, CA, United States.
Christie JacksonDepartments of Medical Informatics and Clinical Epidemiology and Medicine, Oregon Health and Science University, Portland, OR, United States.
Dale JoachimSonde Health, Boston, MA, United States.
Lampros KourtisAlzheimer's Drug Discovery Foundation, Boston, MA, United States.
Andrea KrusselOffice of Health Information and Data Science, Washington University in St. Louis, St. Louis, MO, United States.
Amir LahavSkyMedAI, Boston, MA, United States.
Breanna LeuzeCareerFoundry, Berlin, Germany.
Bob MacDonaldGoogle, Mountain View, CA, United States.
Geralyn MillerMicrosoft, Redmond, WA, United States.
Vivek MohanSoundHealth, Sunnyvale, CA, United States.
Matthew NaunheimMassachusetts Eye and Ear, Boston, MA, United States.
Maria PowellDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, United States.
Anaïs RameauDepartment of Otolaryngology, Weill Cornell Medicine, New York, NY, United States.
Sat RamphalMaya AI, Tampa, FL, United States.
Vardit RavitskySchool of Public Health, University of Montreal, Montreal, QC, Canada.
Charlie ReavisDysphonia International, Itasca, IL, United States.
Samantha Salvi CruzDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, United States.
Jamie ToghranegarDepartment of Otolaryngology, University of South Florida, Tampa, FL, United States.
Adam VogelRedenlab Inc. & The University of Melbourne, Melbourne, VIC, Australia.
Stephanie WattsDepartment of Otolaryngology, University of South Florida, Tampa, FL, United States.
Joseph YrachetaNative Bio-Data Consortium, Eagle Butte, SD, United States.
Robin ZhaoDepartment of Otolaryngology, Weill Cornell Medicine, New York, NY, United States.
Bridge2AI-Voice Consortium
Yael BensoussanDepartment of Otolaryngology, University of South Florida, Tampa, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2024 Voice AI Symposium presented by the Bridge2AI-Voice Consortium, was a 2-day event which took place May 1st-May 2nd in Tampa, FL. The event included four interactive panel sessions, which are summarized here. All four interactive panels featured an innovative format, designed to maximize engagement and facilitate deep discussions. Each panel began with a 45 min segment where moderators posed targeted questions to expert panelists, delving into complex topics within the field of voice AI. This was followed by a 45 min "stakeholder forum," during which audience members asked questions and engaged in live interactive polls. Interactive polls stimulated meaningful conversation between panelists and attendees, and brought to light diverse viewpoints. Workshops were audio recorded and transcripts were assembled with assistance from generative A.I tools including Whisper Version 7.13.1 for audio transcription and ChatGPT version 4.0 for content summation. Content was then reviewed and edited by authors.

Indexed as

artificial intelligenceaudiomicsethical AIvoice artificial intelligencevoice biomarkers

Identifiers

PMID40212896
PMCPMC11983451

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.