AI, Deep Learning and Body Sensor Networks for Healthcare Transformation
10:30am - 11:30amTuesday, March 6
Las Vegas - Venetian Convention Center
We aim to share IEEE Engineering in Medicine and Biology Society insight on technologies that are revolutionizing healthcare: body sensor network (BSN), and deep learning (DL) in AI for health informatics (HI). On BSN, we will discuss modern wearables in terms of size, energy consumption, applicability and susceptibility of sensed physiological signals to artifacts for smart phones/watches/textiles and connected implants. On DL, the massive influx of multimodality biomedical data has driven the fast growing of data-driven analytics. We will provide a comprehensive review of DL in HI, its merit and pitfalls, its future outlook, and its applications in translational bioinformatics, medical imaging, pervasive sensing, medical informatics, and public health. BSN and DL are transforming care delivery. We will discuss the challenges posed by healthcare organizations, infrastructure, and policy in realizing the benefits of these technologies and potential solutions.
Explain the state-of-art of key technologies in transforming healthcare: Body Sensor Network and Deep Learning in AI for Health Informatics
Illustrate the potential impact of AI in Healthcare Transformation using examples in health system (e.g. Houston Methodist) and connected health
Discuss the challenges posed by healthcare organizations, infrastructure, and policy in realizing the benefits of these advanced technologies, the potential pitfalls for organization's implementation, and the strategies to circumvent them