The Medical Intelligent Systems Lab (MISL) at the University of Missouri School of Medicine researches improvements to biomedical decision support systems and eldercare.
Directed by Mihail Popescu, PhD, the MISL investigates improvements for early detection of chronic conditions such as diabetes, heart disease and others by developing and studying new sensors, new monitoring technologies and new pattern recognition algorithms that can interpret the amount of data available in electronic health record (EHR) systems.
With a background in thermal infrared (IR) image processing and deep learning, Dr. Popescu’s research work with MISL seeks to further the development of at-home monitoring devices such as IR peripheral arterial disease (PAD) monitoring. The MISL’s research goals include improving patient quality of life and reducing health care costs by providing clinicians tools to better detect chronic conditions earlier.
Current research projects include
- Sepsis detection using infrared imaging
- Peripheral arterial disease in-home monitoring using an infrared camera and a smartphone
- Knowledge extraction from clinical messages using the 4M ontology
- Extraction of disease pathways from the scientific literature
Lab Members
- Yibo Chen
- Philip Amewudah
