By Meghan McCarthy
Editor’s Note: In light of the 2024 PennAITech Symposium, this article is a part of ongoing coverage on the intersection of technology and dementia.
Depending on where you’re from, phrases and sayings differ. The preference for calling something soda versus pop, hoagie versus sub, bubbler versus water fountain are classic examples that often reflect the state in which one was raised.
Beyond geographical differences, sayings can vary based on racial and ethnic backgrounds.
For instance, Black English, a social dialect with unique expressions and grammar rules, is often used in informal conversations among Black Americans.
When studying speech, these different dialects have an impact on understanding data.
After generating an algorithm that detects cognitive impairment using speech and audio recordings, Maryam Zolnoori, PhD, assistant professor at the Columbia University Medical Center and Columbia University School of Nursing, aims to refine her system through specifically studying speech in Black and African American home healthcare patients.
Last year, the Penn Artificial Intelligence and Technology Collaboratory for Healthy Aging (PennAITech) funded ten pilot studies, including Dr. Zolnoori’s project.
Ultimately, her goal is to change the workflow of cognitive impairment diagnostics in home, primary care, and specialist settings.