Medical Design Briefs - July 2023 - 25

The Adoption of Acoustic AI in Healthcare
Acoustic AI is gaining
momentum for diagnosing
disease-specific cough
patterns.
Hyfe AI
Wilmington, DE
Creaking joints come from cartilage rubbing
on other soft tissue. A growling stomach
signals hunger or that you've eaten
something that disagrees with you. And
though a cough can mean that you are ill,
you might also be perfectly healthy and just
took too big of a gulp of your drink. Even
more interesting is that our body sounds
and its variation over time could tell us a lot
not only about a particular organ (e.g.,
your knee cartilage and tendons), but also
about general wellness, and respiratory,
cardiovascular, digestive, and neurological
health. This article digs into the future of
acoustic epidemiology and our growing
ability to interpret the body's sounds using
artificial intelligence (AI).
AI has already made a big impact in
medicine in the visual realm. By detecting
abnormalities, classifying and quantifying
cancerous cells, and assisting surgeons
by providing real-time guidance,
visual AI has improved early detection,
sped up diagnosis, and increased precision
and accuracy across a number of
medical specialties.
So what about all those noises the
body makes? Acoustic AI has been
slower to develop but is gaining momentum
at a rapid pace, using similar
machine learning and neural networks
to crunch huge data sets and perform
analyses quickly that would take humans
centuries.
At Hyfe, our focus is on respiratory
health and, in particular, the number
one body signal of respiratory distress
and illness: cough. Over the past three
years, we have assembled the world's
largest cough data set and learned that
there is meaning in the sound, frequency,
and patterns of coughing as there is
in the division of cells within the body.
Until recently, so much of the meaning
of cough has been hidden because we
lacked a way to monitor cough over time,
continuously and unobtrusively.
Previously available short-term cough
monitoring techniques and devices
Medical Design Briefs, July 2023
Digital behavior cough suppression programs such as CoughPro have great potential in improving the quality of life
for millions of chronic coughers worldwide. (Credit: Hyfe AI)
yield limited or misleading data and
are of meager clinical value. The absence
of a tool to measure changes in
cough effectively over time has also inhibited
the development of effective
pharmaceuticals. The last time the FDA
approved an antitussive was in 1958,
the year the hula hoop was invented.
The world's half a billion chronic
coughers deserve better.
We are entering the dawn of a new day
in cough science and therapy. Researchers,
pharmaceutical leaders, clinicians,
and thousands of coughers are now able
to continuously monitor their coughs. At
Hyfe, we are learning disease-specific
cough patterns, studying
individual
cough triggers, and the relationship between
subjective and objective perceptions
of cough. Novel therapies are being
developed to help coughers, both
pharmacological and behavioral.
With the immense advantage of no
side effects, digital behavior cough suppression
programs have great potential
in improving the quality of lives for millions
of chronic coughers worldwide -
on its own or in combination with soonto-be
FDA-approved molecules entering
this previously stagnant market. We can
look forward to the wide availability of
individually tailored digital suppression
In the place of a physician asking, " How is your cough? " acoustic AI provides the tools to know the exact number and
timing of coughs. (Credit: iStock)
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Medical Design Briefs - July 2023

Table of Contents for the Digital Edition of Medical Design Briefs - July 2023

Medical Design Briefs - July 2023 - Cov1A
Medical Design Briefs - July 2023 - Cov1B
Medical Design Briefs - July 2023 - Cov1
Medical Design Briefs - July 2023 - Cov2
Medical Design Briefs - July 2023 - 1
Medical Design Briefs - July 2023 - 2
Medical Design Briefs - July 2023 - 3
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Medical Design Briefs - July 2023 - Cov3
Medical Design Briefs - July 2023 - Cov4
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