Center for Computational Imaging & Signal Analytics in Medicine
Creating machine learning and AI systems to improve patient care and clinical research.
Our center is technology-focused and spans diverse applications in healthcare that generate images and sensor data. The Center for Computational Imaging & Signal Analytics in Medicine brings together expertise in medicine, computing, engineering and informatics to addresses all stages of the life cycle of machine learning systems, from development to validation and deployment. Our programs reflect Northwestern's research strengths in cardiovascular medicine, digital pathology, radiology and mobile health and sensors.
This is an exciting time for machine learning in healthcare. Technology can now deliver impressive results in many applications and there we can focus on understanding clinical translation of these methods and their impact on practice and patients."
Lee Cooper, PhD, Director, Center for Computational Imaging & Signal Analytics in Medicine
Programs
Sensor Analytics
Program Co-Lead: David Mohr, PhD, and Nabil Alshurafa, PhD
The Program in Sensor Analytics aims to improve patient health, mental health and quality of life while reducing healthcare costs by developing novel personalized interventions through the use of myriad sensors embedded in our technological devices, including mobile phones and wearables. Through analysis of the continuous streams of data provided by these sensors, we use artificial intelligence and machine learning to understand a person’s moment-to-moment behavior, psychological states and environmental contexts in which the behavior occurs. This will allow us to understand how the interplay between behavior, physiological states and environment influences an individual’s physical and mental health. Ultimately, we will develop novel methods to detect appropriate times to apply interventions that will improve the well-being of the patients we serve.
Cardiac Applications
Program Lead: James D. Thomas, MD
In collaboration with the Northwestern Medicine Bluhm Cardiovascular Institute's Center for Artificial Intelligence in Cardiovascular Disease and industry partners, the Program in Cardiac Applications looks to not only advance both the science of artificial intelligence and deep learning in myriad projects in cardiac imaging, signal processing and data mining but also to drive clinical adoption of proven and emerging AI technology to better care for our patients. Through careful analysis of the impact that AI applications have on patient outcomes, we will drive the field forward, whether in our basic research or industry collaborations. Integral to this program is a dedicated fellowship in AI in Cardiovascular Disease, where trainees (generally in cardiology or cardiac surgery) will earn a master’s degree in Artificial Intelligence through intense course work and an in-depth practical project.
Augmented Intelligence in Medical Imaging (AIMI)
Program Co-Leads: Aggelos Katsaggelos, PhD, and Todd Parrish, PhD
The mission of AIMI is to apply augmented intelligence (AI) to create transformative medical AI-based applications to help clinicians improve patient outcomes through personalized care across all medical imaging disciplines and diseases. AIMI will foster collaboration between technology-based scientists and clinicians/clinician-scientists to tackle difficult problems in the diagnostic and treatment pathways using a multi-perspective, team-based approach to exploit the massive amounts of imaging data that Feinberg has collected. Through a core group of scientists in AIMI, cutting-edge technology will be developed and applied to solve clinical problems. In turn, these investigations will drive the development of future technologies. AIMI provides the infrastructure to incubate ideas and grow them to the next level of optimized patient care.
