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Automated Detection of Disease Using Expressive Human Signals

Event Type
Center for Artificial Intelligence Innovation
wifi event
May 16, 2023   3:00 - 4:00 pm  
Dr. Mary Pietrowicz
Originating Calendar
Center for Artificial Intelligence Innovation

The Center for Artificial Intelligence is pleased to host Dr. Mary Pietrowicz on May 16, 2023 to speak at a special seminar on "Automated Detection of Disease Using Expressive Human Signals".  Dr. Pietrowicz is a research scientist at the Applied Research Institute at the University of Illinois and a Health Innovation Professor at the Carle Illinois College of Medicine. She is an affiliate at the Center for Social and Behavioral Science, the Department of Electrical and Computer Engineering, and the National Center for Supercomputing Applications. The goals of her current work are 1) improving and accelerating screening and diagnosis for selected diseases and health states, 2) creating systems that can do this at scale and convenience, and 3) deploying engaging systems that deliver therapy and support using novel, quantified, integrative techniques.  We look forward to seeing you there!

Zoom: Link
Date:  May 16, 2023
Location:  National Center for Supercomputing Applications - Room 2000

Seminar Abstract:
Many disorders, particularly disorders in psychiatry, neurology, gastroenterology, pulmonology, cardiology, and speech and language are underdiagnosed or are incorrectly diagnosed, causing both financial burden and unnecessary suffering. To cite a specific example, prior to the pandemic, about 18% and 7% of the population suffered from Anxiety Disorders (AD) and Major Depressive Disorder (MDD) respectively; yet only 37% of people with AD and 50% of people with MDD received treatment. Post-pandemic, over 30% of the population is affected by AD and MDD. Left untreated, AD/MDD can result in the inability to hold a job, financial problems, broken relationships, and even suicide. Barriers to diagnosis for these and other disorders include low self-perception of need, attitudinal barriers such as stigma and lack of trust in the health care system, structural barriers such as cost and low availability or accessibility of doctors, and subtlety of early symptoms that are often confused with other disorders. This work addresses the problem by developing accessible, inexpensive, online, automated disease screening techniques based on highly-available human signals, particularly speech and language. This talk will introduce this exploratory field, present a few recent projects, discuss challenges and barriers to this research, and discuss next steps and longer-term goals

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