The promise of Ambient Intelligence for Healthcare

Many of us have witnessed the heart-wrenching journey of relatives or loved ones diagnosed with Alzheimer’s or dementia, often long after the disease’s subtle onset. But what if we could detect these conditions much earlier, before precious years of potential intervention are lost? Join us as we delve into the advent of AI driven ambient intelligence, where cameras no larger than a sticky note quietly observe daily life, and algorithms analyze minute changes in gait, sleep patterns, and even facial expressions. We explore the promise of democratizing early detection using everyday devices, but also confront ethical questions on privacy, ensure meaningful consent, and prevent algorithmic bias when AI enters our most intimate spaces. Our guest is  Dr. Ehsan Adeli, the Director of AI/Innovation in Precision Mental Health and a Faculty Affiliate of Stanford’s Institute for Human-Centered Artificial Intelligence.  Ehsan is also the Assistant Professor of Psychiatry and Behavioral Sciences at Stanford University, where he holds appointments in Computer Science and Biomedical Data Science. With a PhD in artificial intelligence and computer vision and postgraduate training in biomedical imaging and computational neuroscience, he unpacks how these “digital biomarkers” could transform healthcare from reactive to proactive. Hosted by: Alexa Raad and Leslie Daigle. Further reading: Illuminating the dark spaces of healthcare with ambient intelligence  Ambient Intelligence, Human Impact A new era of ambient intelligence in healthcare Digital Health Technologies for Alzheimer’s Disease and Related Dementias Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review The views and opinions expressed in this program are our own and may not reflect the views or positions of our employers.