Through RISE-AI, the UW School of Medicine and Public Health aims to accelerate medical research using artificial intelligence (AI) and develop innovative AI training for practitioners.
From AI-powered screening tools to machine learning algorithms able to predict patient outcomes with greater accuracy, from robots designed to perform routine emergency room tasks to the use of large omics data sets to make biological discoveries, from integrated diagnostics that allow for precision oncology treatments to the identification of dementia through AI analysis of biomarkers, our faculty are leveraging AI to understand diseases and deliver personalized patient care.
At UW–Madison, you will join an ecosystem of discovery where world-class researchers collaborate to improve the health of our community and the world through precision methods of diagnosis, prevention and intervention. RISE-AI helps fuel the cross-disciplinary partnerships that spark new ideas and lead to breakthroughs in understanding, while building on UW–Madison’s historic strengths:
Remzi Arpaci-Dusseau, PhD, Director, School of Computer, Data & Information Sciences
Able to absorb, examine and analyze staggering amounts of data, artificial intelligence (AI) helps medical researchers identify disease patterns and predict patient outcomes.
Jeri Shultis knew something was wrong. He had driven south from Mauston, Wisconsin to Madison to watch his grandson wrestle at the state tournament, but he was struggling to focus on the mat.
An artificial intelligence-driven screening tool developed by a research team at the University of Wisconsin School of Medicine and Public Health successfully identified hospitalized adults at risk for opioid use disorder and recommended referral to inpatient addiction specialists.