AGENDA
Beyond Human Audition: Novel tools for auditory assessment and rehabilitation
December 3-4, 2021
FACULTY
Mark A Parker PhD - Tufts University School of Medicine
Dennis Barbour PhD - Washington University in St Louis
Ross Maddox PhD - University of Rochester
Linda K. Thibodeau PhD - University of Texas at Dallas
Barbara Canlon PhD - Karolinska Institute (Sweden)
Christian Füllgrabe PhD - Loughborough University (UK)
Douglas Beck PhD - Oticon
Shilpi Banerjee PhD - Bose Corporation
Jodi Sasaki-Miraglia AuD – Widex
Chalese Buttars AuD - Oticon
SCHEDULE
FRIDAY DECEMBER 3, 2021 (ALL TIMES ARE PST)
7-8 am Registration
Section I: Non-auditory Systems that Affect Audition
8-9- Canlon - Understanding How Circadian Rhythms Modulate Auditory Sensitivity
9-10 - Füllgrabe - “Until we are deaf and dumb” - Exploring the complex link between audition and cognition in older adulthood
10-11 - Maddox - How What You See Influences What You Hear: The role of the visual system in audition
Lunch Provided: please contact us with any dietary restrictions
Section II. Novel Methods for Auditory Rehabilitation
12-1 - Thibodeau - Virtual/Video-based Aural Rehabilitation
1-2 - Beck - Issues in Cognition, Audition and Amplification
2-3 - Thibodeau - Use of Smartphones and Tablets to Facilitate Speech Recognition in Noise
15 min break
Section III. Advanced Amplification
3:15-4:15 -Buttars- Advanced Signal Processing that Improve Patient Outcomes
4:15-6:15 - Parker – Breakout sessions: Learning Stations for Advanced Technologies
Wine and Cheese Social: All are invited
SATURDAY DECEMBER 4, 2021 (ALL TIMES ARE PST)
7-8 am Registration
Section IV. Artificial Intelligence, Machine Learning, and Deep Neural Networks in Hearing Assessment
8-9 - Barbour - An Introduction to Machine Learning with an Eye Toward Hearing Applications
9-10 - Maddox - An Introduction to Deep Neural Networks in Hearing Science
10-11- Barbour - Machine Learning Audiometry as a Showcase for Precision Audiology
Lunch Provided: please contact us with any dietary restrictions
Section V. Artificial Intelligence, Machine Learning, and Deep Neural Networks in Hearing Aid Signal Processing
12-1 - Beck - Deep Neural Networks: Outcomes and Applications in Amplification
1-2 - Sasaki-Miraglia - Clinical Applications of Artificial Intelligence in Hearing Healthcare: Working smarter not harder
2-3 - Banerjee - The Democratization of Hearing Health: Working with over-the-counter hearing aids
The entire program has been Accreditation from the State of California (15 CEUs), AAA (1.5 CEs), and IHS (15 CEUs) for both AuDiologists and Dispensing Practitioners
IHS APPROVED!
PSHS is approved by the International Hearing Society to offer continuing education for this course. This course [CEN-692-21] is approved for up to 15 credit(s) of continuing education (1 CE Credit = 1 contact hour). IHS approval of this course is based on the course’s adherence to IHS’s course approval requirements only and does not imply endorsement of the course content, specific products, clinical procedure, instructor or adherence to the IHS Code of Ethics. Any views that are presented are those of the presenter/Education Provider and not necessarily of the IHS.
APPROVED for 1.5 AAA CEUs
PSHS is approved by the American Academy of Audiology to offer Academy CEUs for this activity. The program is worth a maximum of 1.5 CEUs. Academy approval of this continuing education activity is based on course content only and does not imply endorsement of course content, specific products, or clinical procedure, or adherence of the event to the Academy’s Code of Ethics. Any views that are presented are those of the presenter/PSHS and not necessarily of the American Academy of Audiology.
Approved for 15 CEUs for both Audiologists and Hearing Instrument Specialists.
Every course has been approved by the state of CA for Hearing Instrument Specialists and Audiologists.
PSHS is SPONSORED BY:
PSHS can attest that VIVIDIS is hands down and by far the best production team you will ever find! We HIGHLY RECOMMEND that you use them!
