Our services and expertise directly empower U-M researchers to develop impactful research.

We are the leading source for enabling and accelerating groundbreaking research at the intersection of AI and health. The research we support produces novel scientific discoveries that will revolutionize the future of digital healthcare.

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Impact Stories

The AI and digital health research we support is having real world impact. See examples of some of the impact below.

Featured

How AI&DHI support catalyzed a $17.9M grant for precision mental health care

Researchers who are AI & Digital Health Innovation (AI&DHI) members were awarded a $17.9m grant from the National Institute of Mental Health to support the development of new precision medicine approaches aimed at improving mental health care access and outcomes.

Artificial intelligence predicts genetics of cancerous brain tumors in under 90 seconds

Using artificial intelligence, researchers have discovered how to screen for genetic mutations in cancerous brain tumors in under 90 seconds — and possibly streamline the diagnosis and treatment of gliomas, a study suggests.

Projecting IV Fluid Usage

In a rapid response to the dire shortage of intravenous (IV) fluid bags currently affecting hospitals nationwide, investigators from the University of Michigan (U-M) Digital Health Innovation and Max Harry Weil Institute for Critical Care Research and Innovation developed a projection model to help U-M Health leadership make critical and timely decisions around conservation of crucial medical supplies.

Racial Bias in Pulse Oximetry Measurement

The goal of this research is to determine the clinical significance of potential racial bias in pulse oximetry measurement.

Precision Opioid Prescribing

This research initiative is focusing on understanding the factors that put people at risk of long-term opioid use so that these patients can be prescribed alternative pain management strategies when having surgery.

Confirmatory DPYD Testing in MGI Subjects

This research initiative identified patients carrying DPYD variants based on Michigan Genomics Initiative.

Emerging Innovations

We are serious about getting AI innovations to the bedside. The emerging innovations listed below have completed initial testing and proof-of-concept validation. Research projects that make it to the emerging innovation stage have high confidence for commercial viability and will be ready to license in 1-2 years.

Companies interested in sponsoring further R&D can option for right of first refusal! Explore our innovations below and connect with U-M Innovation Partnerships to learn more!

Featured

Ambulatory Surgery Center Model

This predictive model that will automatically assign patient locations for a majority of cases.

PICTURE: Pediatric General Floor Deterioration Prediction

PICTURE is a suite of machine learning algorithms that utilizes electronic health record (EHR) data to predict patient deterioration in hospital settings. This iteration is modeled specifically for adult inpatients in a general floor.

PICTURE: Adult General Floor Deterioration Prediction

PICTURE: Rapid Response Team (RRT)

PICTURE is a suite of machine learning algorithms that utilizes electronic health record (EHR) data to predict patient deterioration in hospital settings. This iteration of the model is providing insight to the RTT Team to priortize patient treatment.

DETECT ARDS

DETECT-ARDS is an analytic for Detecting Acute Respiratory Distress Syndrome. It enables early and accurate detection of the acute respiratory distress syndrome (ARDS) by leveraging artificial intelligence (AI) to interpret and understand visual images with human-level accuracy.

MCURES

M-CURES is an open-source patient deterioration model that was implemented to improve care at the University of Michigan’s health system.

Research Impact

Our services and expertise directly empower U-M researchers to develop impactful research.

Impact Stories

Emerging Innovations

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