The Brief
- A physician at USF is nearing the end of a four-year project aimed at discovering whether AI can be utilized to identify voice disorders.
- In 2022, Dr. Yael Bensoussan, who specializes as a laryngologist, contributed to founding the Bridge2AI initiative.
- Drawing from her previous life as a vocalist, she abandoned that path once she was diagnosed with vocal cord nodes.
TAMPA, Fla.
–
After three years of working on a project using
artificial intelligence
and utilize vocal patterns to identify illnesses and conditions, a
University of South Florida
The laryngologist is prepared for the subsequent phase in assisting patients.
Dr. Yael Bensoussan considers voice as deeply personal because she transitioned from being a singer into the medical profession with USF Health.
What they’re saying
“I suffered from vocal cord nodules, a condition that forced me to take some time off and seek medical attention,” explained Bensoussan, who serves as an assistant professor of otolaryngology at USF Health and also acts as the co-principal investigator for the Bridge2AI Voice initiative. “This experience has deeply stirred my interest in understanding how the human voice reflects both emotional states and physical well-being.”
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Since 2022, Bensoussan has been studying how artificial intelligence can detect health conditions through voice.
“We work in the emergency department. It’s always very interesting to interview people in the emergency department. We work in outpatient clinics to build all those datasets,” said Bensoussan.
Dig deeper
The three-day symposium centers around the Bridge2AI Voice initiative, gathering leading figures from the AI sector and healthcare experts in Tampa.
The symposium:
A few months back, we launched our initial data release. From this, we gained valuable insights into how individuals utilized the information provided. Currently, we’re preparing for our second data release,” stated Bensoussan. “In the coming month, we aim to gather extensive feedback regarding our efforts.
Big picture view
Physicians, healthcare professionals, and scientists are utilizing her data to develop models aimed at diagnosing conditions such as Alzheimer’s disease, heart disease, or even mental health disorders in patients.
Bensoussan questioned whether it could be utilized effectively, how challenging it would be to make new findings, and if using it required significant expertise in artificial intelligence. He also wondered if someone without much background in AI could operate it,
The National Institutes of Health is sponsoring the four-year initiative. According to Bensoussan, during her final year, she plans to shift focus from treating patients at hospitals to making home visits for individuals based in the U.S. and Canada.
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Unfortunately, many individuals suffering from chronic illnesses frequently find themselves visiting hospitals several times each month,” noted Bensoussan. “They always remain uncertain about when they should next seek medical attention.
What’s next
After confirming its efficacy, she stated that the subsequent phase would involve obtaining FDA approval, thereby providing practical remedies for individuals’ well-being.
“That’s really the goal, right? We’re all developing tech. If we can’t implement it, then it doesn’t benefit the patient,” said Bensoussan.
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Benoussan mentioned that some at-home solutions include smartwatches capable of detecting imminent falls or determining when an individual should visit the emergency room, with these functionalities being driven by analyzing one’s voice.
USF Health along with Weill Cornell Medicine collaborated to unveil the initial clinically verified voice dataset from the National Institutes of Health-supported “Voice as a Biomarker of Health” initiative. This collection includes more than 12,500 audio clips contributed by 306 individuals for utilization in healthcare studies.
The Source
Briona Arradondo from FOX 13 gathered the details for this report.
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