Lookinglass has launched a web application that is able to detect Parkinson’s disease in its early stages.

Users upload a video recording of the patient performing certain tasks. The system then leverages artificial intelligence (AI) to track these movements and assess the patient’s range of movement in various joints. A report is generated almost immediately.

This technology is expected to assist occupational therapists working in remote areas. The AI platform has been trialled with 16 practitioners and at nursing homes in Australia.

Lookinglass CEO Kelly Carpenter said: “The problem for occupational therapists is in the ability to remotely assess patient movement using manual technology.

“It’s difficult for people in remote locations to access telehealth solutions.”

“Our solution removes the manual effort for diagnosis and reduces error caused by ineffective communication technologies.”

Lookinglass is based at the University of South Australia’s (UniSA) Innovation & Collaboration Centre.

Last month, the company unveiled a smart mirror platform that uses machine learning and computer vision techniques to identify the symptoms and progression of degenerative health disorders.

Lookinglass intends to integrate its web app with the smart mirror to create a real-time video-based diagnostic tool to facilitate ongoing at-home interactions.

App developer and Lookinglass chief technology officer Simon Cullen noted: “It’s difficult for people in remote locations to access telehealth solutions and Parkinson’s disease makes it especially difficult for users to be able to push a button or press a touch-pad. Our mirror will remove these barriers to accessing expert healthcare.”

The company is planning to create an advanced prototype of the smart mirror by the end of this year.

In June last year, Chinese tech company Tencent and UK-based medical firm Medopad announced a similar project focused on using an AI system to remotely monitor Parkinson’s patients.