It was recently found out that facial analysis software can help identify Parkinson’s disease with better accuracy.
Indeed, a new study by the University of Rochester in New York revealed that facial analysis software can more accurately differentiate between people with Parkinson’s disease and healthy people. The software is part of a suite of tools for remote analysis of the disease that uses video analysis of motor tasks and audio analysis of speech of people showing surprise, disgust, and smiling.
The study aims to allow screening to be available anytime and anywhere so as to identify the signs of the disease earlier. The analysis software development can then detect the most minute expressions of hypomimia, which is a characteristic feature of Parkinson’s disease, something that is impossible through the human eye.
Hopefully, the development of this facial analysis software will continue and help diagnose people earlier and find the right treatments.