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The under-assessment of pain response is one of the primary barriers to the adequate treatment of pain in critically ill patients and is associated with many negative outcomes such as chronic pain after discharge, prolonged mechanical ventilation, longer ICU stay and increased mortality risk.

Currently, existing nonverbal pain assessment scales are based on manual assessment by trained nurses of a patients’ facial expressions and the patients’ activity such as guarding or restlessness. Furthermore, manual pain assessment tools cannot monitor pain continuously and autonomously.

Rashidi and her team will equip two 24-bed ICU units with wearable inertial sensors and color-depth cameras. They will recruit 200 patients, and will capture highly-granular data on facial expressions and body movements for up to seven days.

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April 7th, 2021

Dr. Rashidi at ISN Virtual World Congress of Nephrology 2021

Dr. Rashidi will join Dr. Azra Bihorac and Dr. Yoshua Bengio in a discussion titled “How to achieve equitable, inclusive, and ethical AI development and implementation” at ISN Virtual World Congress of Nephrology 2021.

February 4th, 2021

Human Activity Recognition Using Inertial, Physiological and Environmental Sensors

A Comprehensive Survey  Human Activity Recognition Research Paper [link] Nowadays, the aging population is becoming one of the world’s primary […]

June 6th, 2019

NIH Mitchel Max Award- Finalist

Dr. Rashidi is nominated as one of the three finalists for the National Institute of Health (NIH) Mitchel Max Award […]

May 3rd, 2019

HWCOE Excellence Award

Original Article: Link Parisa Rashidi, Ph.D., areceived the HWCOE Excellence Award for Assistant Professors. This award is given to faculty […]

May 3rd, 2019

Provost Excellence Award

Main Article: Link Parisa Rashidi, Ph.D., an assistant professor in the J. Crayton Pruitt Family Department of Biomedical Engineering, has […]

February 25th, 2019

News Coverage in CBS

A first of its kind technology developed here in Gainesville can predict the probability and possible cause of death in […]

February 25th, 2019

News Coverage in Fox13

Artificial intelligence used in the ICU to predict mortality, news story: Watch the video here: link

February 22nd, 2019

News Coverage in Alligator Newspaper

Excerpt from the original story:   UF researchers can now assess and treat a patient’s condition faster than ever before […]

February 19th, 2019

News Coverage in UFHealth News

n a hospital’s intensive care unit, doctors get a cascade of data about each patient’s condition that can be challenging […]

February 18th, 2019

NIH Trailbalzer Award

The under-assessment of pain response is one of the primary barriers to the adequate treatment of pain in critically ill […]