Pinned Tweet
New to actually posting, but I wanted to share our recent work on speech in noise testing in the routine audiogram! Special thanks to my co-authors, including @StevenGianakas , Jason Qian, Steven Losorelli and Austin Swanson.
journals.lww.com/ear-hearing…
Wanted to share our new articles on the importance of speech in noise assessment in the routine audiogram!
journals.lww.com/ear-hearing…
Here we demonstrate that hearing thresholds and speech in noise abilities are related to perceived hearing handicap. In contrast, traditional measures of word recognition in quiet have no predictive power for when a patient is likely to report a problem.
Big thank you to my collaborators @StevenGianakas, Michael Smith, @matt_with_ears Kristi Ward, Jason Qian, Michael Smith, Nik Blevins and Austin Swanson!
Here we illustrate the relationship between the degree and type of hearing loss on speech understanding in noise and quiet.
journals.lww.com/ear-hearing…
Matthew Fitzgerald retweeted
The Editor's Award for Outstanding Publication in Ear and Hearing was awarded to Dr. Matt Fitzgerald and colleagues at our awards ceremony yesterday for their Ear and Hearing paper on rethinking how we tests speech recognition clinically.
Honored to announce that my colleagues and I will be receiving the Ear and Hearing Editors' Award at the 2024 meeting of the American Auditory Society! This is for our work on implementing measures of speech in noise in the routine audiogram.
journals.lww.com/ear-hearing…
Big thanks to my co-authors @StevenGianakas, Jason Qian, Steven Losorelli and Austin Swanson! This is the first of several articles, all focused on helping audiologists to place equal weight on suprathreshold auditory function, particularly speech in noise abilities.
These are the first of many papers in which we argue that speech in noise should become standard in the routine audiogram. Doing so gives audiologists vital information about suprathreshold function, and helps ensure that the audiogram is more sensitive to patient concerns!
In addition to predicting categories of word-recognition scores from speech in noise abilities, we also demonstrate that asymmetries in SIN are more accurate at identifying patients with a vestibular schwannoma.
journals.lww.com/ear-hearing…
LM317 - Guidelines for Replacing Word-Recognition in Quiet with Speech-in-Noise in the Routine Audiolog... goo.gl/vfLgLN #AAAConf19
Matthew Fitzgerald retweeted
For science! I'm collecting D&D character backstories for training neural networks. Submit as many as you like. goo.gl/forms/ReInNw0Tz0mwzTL…
