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
Professor and Digital Health Scientist ||
Charles Sturt University
Professor Ashad Kabir is a distinguished scholar in applied artificial intelligence and smartphone technologies. He leads the Imaging and Sensing Research Group at Charles Sturt University (CSU). He has authored over 140 scholarly articles and secured more than $7.1 million in research funding. His work reflects a sustained commitment to leveraging AI and data-driven approaches for transformative healthcare solutions. His contributions have earned him numerous awards, including the Vice-Chancellor's Researcher of the Year and the Editor’s Choice Article of the Year.
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Dr Sayed Ahmed
Dr Sayed Ahmed
Clinical Researcher and Pedorthist ||
Foot Balance Technology
Dr Sayed Ahmed is a foot healthcare professional, entrepreneur, researcher and accomplished leader in Pedorthics and medical device innovation. He became the first PhD in Pedorthics in Australia. He completed his PhD from Southern Cross University, focusing on diabetic foot care and personalised footwear prescriptions.
Dr. Ahmed began his career with a B.Sc. Engineering & Tech. in Footwear from the University of Dhaka, and later earned an MBA in Management Information Systems. His professional journey includes significant roles as founder and CEO of Foot Balance Technology and OrthoGenix, where he developed innovative solutions for foot health challenges, particularly for individuals with diabetes. His innovation focuses on enhancing the patient experience through the use of 3D and digital technologies, including scanning, CAD design, additive manufacturing, and AI integration for decision-making and process improvement in clinical practice.
Dr. Ahmed has secured and managed notable grants, including the "National Industry PhD Program," which focuses on AI-powered clinical decision support systems (CDSS) and has collaborated extensively with Australian universities. His research, widely published, encompasses topics such as footwear design for diabetic foot ulcers and AI-driven medical device prescriptions. Dr. Ahmed is dedicated to advancing foot health through interdisciplinary collaboration, mentorship, and innovative research
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