Title:
AI in Assistive Technology: A Perspective from Life-long Rehabilitation
Spekers:
Diego Paez-Granados
Abstract:
This talk highlights the gap between AI advancements and long-term healthcare support, while presenting our vision for the future of AI in Health Supporting Systems. Focusing on chronic conditions, particularly spinal cord injuries (SCI) and elderly care, our research group explores transparent AI models that integrate medical staff in decision-making.
I will present our vision of modelling the human body using biosignals and behavioural responses for disease onset detection, emphasizing interpretable models and graphical model-based learning.
By addressing these key areas of research, we aim to bridge the gap between AI advancements and long-term healthcare support, ultimately paving the way for a future where AI plays a pivotal role in health prevention, disease prediction, and personalized treatment strategies.
In this talk, I will explore our vision of sensor fusion for robotics aids. encompassing both body and environmental data, from shared autonomy while navigating in crowded environments to enhanced life support individuals with mobility impairments, which we aim as well to integrate into inpatient life with robotics support at hospitals.
Short Bio:
Dr. Paez is the Head of the SCAI Lab at ETH Zürich and Swiss Paraplegic Research (SPF) in Switzerland. With a focus on personalized healthcare, his lab utilizes advanced machine learning techniques and wearable sensing to develop assistive decision-making systems that model disease onset and develop digital biomarkers.
Passionate about enhancing healthcare, Dr. Paez is dedicated to creating patient digital twins and leveraging them to develop preventive technologies that support healthcare workers and caregivers. His diverse research interests span human modeling, human-