Artificial Intelligence in Tele-Health
The AITH Team develop diagnostic and decision support systems for remote delivery of health services. The multi-disciplinary team brings together expertise in clinical research, telemedicine systems and artificial intelligence (AI) for medical image and data analysis. The team works with key stakeholders and collaborators to develop and trial these solutions to demonstrate improved health outcomes and health service delivery.
Diagnostic systems and decision support are tested in hospital and primary healthcare environments, applying image and data analysis including artificial intelligence and deep learning. We investigate the use of telemedicine to provide healthcare to metro, rural and remote Australia and to identify new screening methods for systemic diseases. A current focus is the development of novel diagnostic technologies in the form of non-invasive ocular imaging techniques for ocular disease, diabetes, hypertension and neuro-degenerative diseases (Alzheimer’s disease and stroke).
Impact on the Health System
We aim to improve health outcomes and produce cost savings to the healthcare system. This is achieved through rapid and accurate image interpretation, improved health system workflow and enabling patients to process their own data to promote health.
Research projects investigate the use of tele-medicine to provide healthcare to metro, rural and remote Australia, internationally and even for astronaut health during space travel and colonisation (through the Space FSP).
New disease screening methods that are possible to implement using tele-medicine include;
Early detection of Alzheimer’s disease using imaging of the eye:
Team leader and AADRF Dementia Research Fellow (NHMRC) – Early detection of Alzheimer’s disease using non-invasive ocular imaging.
Sajib Kumar Saha
Research Scientist at AEHRC, Perth. He is working towards the development of machine learning techniques for the automated detection, prediction and progression analysis of sight threatening eye disease, specifically diabetic retinopathy (DR) and age-related macular degeneration (AMD).
Post-doctoral researcher. Early detection of Alzheimer’s disease using non-invasive ocular imaging.
Intern, working on Retinal Vessel Analysis Platform.
MPhil student, working on critical evaluation of deep learning system in diabetic retinopathy.
Vacation student, working in machine learning and image processing.