People-driven. Data-powered.
The mission of the Institute for Augmented Intelligence in Medicine is to bridge computational methods with human expertise to advance medical science and improve human health.
We explore the application of machine learning, artificial intelligence, pattern recognition, genetic analysis and deep phenotyping of health data to build useful, responsible tools that put people first.
Abel Kho, MD, MS, FACMI, Director, Institute for Augmented Intelligence in Medicine
Our Centers
Our six centers will deepen Northwestern's focus on augmented intelligence in the following areas:
Center for Computational Imaging & Signal Analytics in Medicine
This center looks to apply advanced analytic methods to augment clinical care using imaging or sensor data. Programs within this center include imaging patterns, sensor analytics and cardiac application.
Center for Deep Phenotyping & Precision Therapeutics
This center is focused on high-definition phenotyping of patients, applying machine learning to reclassify heterogeneous clinical syndromes and performing novel clinical trials to advance precision medicine.
Center for Advanced Molecular Analysis
This center seeks to generate and analyze cellular and population omics data for improved diagnostics.
Center for Biomedical Informatics & Data Science
This unit, a joint center between our institute and the Northwestern University Clinical and Translational Sciences Institute, develops and supports informatics methods and tools to effectively use data in clinical settings and to train the next generation of biomedical informaticians.
Center for Bioethics & Medical Humanities
This unit, a joint center between our institute and the Institute for Public Health and Medicine, will establish a program in the ethics of data, machine learning and artificial intelligence.
