The Future of Medical and Assistive Device Prescriptions: Artificial Intelligence-Guided Personalised Device Prescriptions for Improved Clinical Outcomes and Adherence
In current pedorthic practice, the design of personalised devices (such as orthopedic footwear, foot orthotics, ankle-foot orthoses, etc.) is often overlooked, which impacts patients’ adherence and eventually results in poor clinical outcomes. Such outcomes can lead to lower limb amputation, which might cause permanent disability or even death. This study aims to explore the potential of artificial intelligence to guide personalised medical and assistive device prescriptions, solving the problem of generic medical and assistive device prescriptions that do not consider individual patient preferences and lifestyle and intended activity (such as outdoor, indoor, or occupational use). By leveraging machine learning algorithms to analyse patient data, the system will create a personalised medical and assistive device prescription plan that considers individual patient needs, which will be further validated in industry settings. The study will contribute to enhancing healthcare efficiency and accessibility by providing a valuable tool for medical professionals to make evidence-based decisions and reduce the time and resources required to create personalised medical and assistive device prescription plans.
Dr Ashad Kabir
Dr Ashad Kabir
Associate Professor & Researcher ||
Charles Sturt University
Associate Professor Ashad Kabir is an expert in data science and artificial intelligence in health care. He is the deputy leader of the data mining research group at Charles Sturt University. His research focuses on applying advanced technologies, including data mining, artificial intelligence, and smartphone apps, to solve problems in the domain of health and well-being while considering individuals’ privacy and system security.
A/Prof Kabir has published over 100 research articles and secured research grants with a total budget of over $1.5 million. As the lead and sole investigator, he successfully completed several industry-funded projects with excellent impact and quality publications. He is a recipient of the Vice Chancellor Research Excellence Awards 2022 in the category of "Researcher of the Year in the Faculty" for research achievements, including research publications, grants, research leadership, impact, significance, and entrepreneurial spirit.
Ashad is an editorial board member for several journals, including Frontiers in Digital Health and BMC Medical Informatics and Decision Making. He has delivered keynotes at several conferences and been invited as a guest speaker to deliver talks at several prominent universities across the world, including the University of Maryland (USA), Texas A&M University (USA), the University of Toronto (Canada), York University (Canada), Auckland University of Technology (New Zealand), and Chandigarh University (India).
Session/s
Sayed Ahmed
Sayed Ahmed
Clinical Researcher & Pedorthist ||
Foot Balance Technology
Session/s
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