A Novel Mobile Application Enabling Automated Body Contour Comparison and Spine Alignment Examination Using Artificial Intelligence

Professor Cheung, Jason Pui Yin   (Project Coordinator (PC))

Professor Zhang Teng Grace   (Co-Investigator)

Professor Cheung Kenneth Man Chee   (Co-Investigator)

Professor Wong Tak Man   (Co-Investigator)

Professor Lu William Weijia   (Co-Investigator)

22

2019-11-02

2021-09-25

396703

A Novel Mobile Application Enabling Automated Body Contour Comparison and Spine Alignment Examination Using Artificial Intelligence

Artificial Intelligence, Automated Body Contour Comparison, Novel Mobile Application, Spine Alignment Examination

Others - Medicine, Dentistry and HealthOthers - Mechanical, Production and Industrial Engineering

InP/435/19

Innovation and Technology Fund Internship Programme

2019

Completed

The primary objective of this project is to develop an artificial intelligence (AI-integrated)mobile app that monitors and assesses real-time changes in spinal deformity. The targeted users are spine misalignment patients and their parents (including both low back pain patients and scoliosis patients cohort) This product assesses changes in body shape and monitors spinal curvature so that any progression in deformity can be identified in real-time as well as improvements in body contour with exercise and bracing. Users can obtain their own visual data of the spinal alignment and use this information for better consultation with the clinician. Consequently, with continuous feedback to the user regarding improvements in body shape, encouragement is provided to improve compliance to brace wear for controlling the misalignment progression. This will effectively improve patients’ own understanding of the disease process, reduce the amount of unnecessary anxiety of the patients and follow-up with specialists, reduce radiation exposure for young children, and ultimately reduce the work and cost burden on the healthcare institution. The secondary objective is to establish a database of spine misalignment using this application and to develop an AI system that can study the disease to gain a better understanding of the association between clinical manoeuvre and the disease progression. This can provide assistance to the clinicians for improved patient care, by potentially design effective treatment plans and adjust the treatment plans based on individual response to the previous treatment. Cutting edge methods that will be used in the project include user-friendly interface design and core intelligence algorithms with both Convolutional Neural Networks (CNNs) and Recurrent Neural Networks.