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Maggie Makar receives NSF CAREER Award to develop machine learning models backed by causal reasoning

Makar’s research will leverage causal mechanisms to build more robust machine learning models.

Harnessing tech to shape the future of pandemic defense

The Computing Community Consortium, including CSE Prof. Rada Mihalcea, has released a new workshop report on the role of computing in preventing and mitigating the effects of pandemics.
University of Michigan: February 26, 2024

Mariel Lavieri Selected to Join the New Voices Program of the National Academies of Sciences, Engineering, and Medicine

Congratulations to e-HAIL member Mariel Lavieri, Ph.D., on being selected to join the New Voices program of the National Academies of Sciences, Engineering and Medicine. She is recognized for excellence in research related to human health as well as championing diversity, equity and inclusion.

Widely used AI tool for early sepsis detection may be cribbing doctors’ suspicions

When using only data collected before patients with sepsis received treatments or medical tests, the model’s accuracy was no better than a coin toss.
University of Michigan: February 12, 2024

Multimodal AI model may guide personalized treatments for tuberculosis

Kudos to e-HAIL member Sriram Chandrasekaran, Ph.D., Associate Professor, Biomedical Engineering, and postdoctoral fellow Awanti Sambarey, who led a team of U-M researchers to develop a multimodal AI model to predict treatment outcomes of tuberculosis (TB) patients. Their analysis of real-world worldwide patient data may lead to personalization of TB treatment.

Hearing emotion: Redefining mental health monitoring via voice-based mood detection

Researchers at U-M have received a $3.6 million NIH grant to support their development of new digital phenotyping tools to better detect and measure symptoms of bipolar disorder via audio monitoring.
University of Michigan: January 16, 2024

Identifying Dementia from EHR Data

Dr. Vinod Vydiswaran gives an interview on how he is developing methods to identify dementia from Electronic Health Record (EHR) data. While the adoption of EHR systems into healthcare introduces new and exciting opportunities to extract information that can be used to augment other types of data for research, it can be tricky to pull out meaningful information from the text of clinical notes.
University of Michigan: January 12, 2024

For surgery patients, AI could help reduce alcohol-related risks

e-HAIL member Vinod Vydiswaran, Ph.D., M.Tech is working on a project that uses artificial intelligence to scan surgery patients’ medical records for signs of risky drinking in order to help spot those whose alcohol use raises their risk of problems during and after an operation.

Clinicians could be fooled by biased AI, despite explanations

Regulators pinned their hopes on clinicians being able to spot flaws in explanations of an AI model’s logic, but a study suggests this isn’t a safe approach.

CSE researchers present new findings and tech at UIST 2023

CSE researchers have 2 papers and 4 demos appearing at the conference, covering new tech that improves accessibility, enhances user experience, and helps surgeons-in-training.

Dhruv Jain receives NIH grant to improve health education for people with sensory disabilities

Prof. Jain and his collaborators in Michigan Medicine will develop best practices to increase health literacy and access to information for patients with disabilities.

Nikola Banovic receives NSF CAREER Award to advance explainable AI

Prof. Banovic aims to use human-AI interaction to explain and justify AI decisions to end users.
University of Michigan: August 17, 2023

AI can predict certain forms of esophageal and stomach cancer

e-HAIL Co-Lead Convener, Akbar Waljee, M.D., M.Sc., Lyle C. Roll Endowed Professor; Professor, Learning Health Sciences; Professor, Internal Medicine, is a senior author on a study with a team of researchers including Joel Rubenstein, M.D., M.S., a research scientist at the Lieutenant Colonel Charles S. Kettles Veterans Affairs Center for Clinical Management Research; Professor, Internal Medicine. The team is studying a new artificial intelligence tool that accurately predicts certain forms of cancer at least three years prior to a diagnosis.

New apps for visually impaired users provide virtual labels for controls and a way to explore images

With VizLens, users can touch buttons while their phones read out the labels, and Image Explorer provides a workaround for bad or missing alt text

With language models on the rise, how can Natural Language Processing be used for good?

A research team led by Prof. Rada Mihalcea and PhD student Zhijing Jin has created a method for identifying and categorizing research that uses NLP to address social problems.

Dhruv Jain named Google Scholar to design accessible technologies for deaf and hard of hearing people

Jain is working to design next-generation accessible technologies to give DHH people better awareness of their surroundings.
The University Record: May 15, 2023

Committee to explore applications of generative AI

e-HAIL Co-Lead Convener Rada Mihalcea, Ph.D., the Janice M. Jenkins Professor of Computer Science and Engineering, Director of the Michigan Artificial Intelligence Lab, has been appointed to the university-wide Generative Artificial Intelligence Advisory Committee, which will make recommendations about how U-M should approach the evaluation, use, and development of emergent artificial intelligence tools and services

Seven papers by CSE researchers presented at CHI 2023

30 University of Michigan researchers authored and co-authored papers spanning surveillance, virtual reality, algorithmic stigma, assistive technology, and sensing systems.

Jenna Wiens receives U-M Sarah Goddard Power Award for outstanding research and advocacy for women in academia

The award recognizes U-M faculty and staff who have significantly contributed to the betterment of current challenges faced by women.

Prof. Emily Mower Provost receives NSF grant for research in personalized emotion recognition

The project aims to create new and personalized speech emotion recognition approaches and to use these approaches to investigate how changes in emotion are related to changes in mental health.

Six new projects funded by LG AI Research  

The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.

Rada Mihalcea receives Distinguished Faculty Achievement Award

Mihalcea is being recognized for her contributions to computational linguistics and her efforts to broaden participation in the field of computer science.

Paper by U-M researchers selected for Best Paper in IEEE Transactions on Affective Computing

The research on automatic speech emotion recognition is one of the five papers featured in the collection.
The Atlantic: July 22, 2022

The Risk and Opportunity of Online Fertility Groups

e-HAIL member, Nazanin Andalibi, Assistant Professor of Information, was recently quoted in an article about how online fertility groups can help people with a history of being ignored or stereotyped by medical professionals.
Multicenter Perioperative Outcomes Group: July 1, 2022

Cardiac sURgery anesthesia Best practices to reduce Acute Kidney Injury (CURB-AKI) R01 Grant

e-HAIL members Michael Mathis, M.D., a cardiac anesthesiologist, and Karandeep Singh, M.D., M.M.Sc., a nephrologist and data scientist, are co-principal investigators on the study, which leverages data science techniques to better understand the impact of anesthesia practices for cardiac surgical patients on acute kidney injury following surgery.

Rada Mihalcea named new council member for CRA Computing Community Consortium

Mihalcea has been appointed as one of six new members on the Council, which works to catalyze computing research activity. Her term begins July 1.
University of Michigan: June 2, 2022

NIH Grant in Kenya to Enhance Understanding of Aging in Africa

Anthony Ngugi (Aga Khan University) and Joshua Ehrlich (U-M) are co-principal investigators on the grant, which supports pilot work to lay the groundwork for future NIH grant applications aimed at launching the full-scale LOSHAK cohort study of older adults in Kenya.
University of Michigan: May 31, 2022

Lin, Sjoding honored for impact on health policy and practice

Congratulations to e-HAIL member Michael Sjoding for receiving a 2021 IHPI annual Policy Impact Award.
The Lancet: May 12, 2022

AI models in health care are not colour blind and we should not be either

Prof. Jenna Wiens comments on a finding that AI systems can be trained to determine a person’s self-reported race based on a medical image.

Paper recognized for lasting impact on natural language processing

AAAI recognized Prof. Rada Mihalcea’s 2006 paper which devised a way to semantically compare short texts.
University of Michigan: April 28, 2022

Singh: AI could be a useful tool in emergency departments, but use it wisely

Karandeep Singh, assistant professor at the University of Michigan School of Information and at the Medical School, warns of limitations in current AI systems.
The Wall Street Journal: April 13, 2022

How Hospitals Are Using AI to Save Lives

Karandeep Singh, assistant professor of information, learning health and internal medicine, is quoted in this article on how emergency rooms and ICUs are turning to artificial intelligence to identify and treat patients who are most at risk
Global Michigan: October 29, 2021

Strengthening international engagements; data science hub in east Africa and proposals to tackle global challenges

Facilitated by the U-M, a $6.5 million NIH grant will be the first-of-its-kind enterprise in the East African region, harnessing artificial intelligence, machine learning, and other emerging technologies to improve health and care delivery in local communities.

$1.1M grant supports learning more about early Alzheimer’s with machine learning

Data from patient records could provide a valuable historical perspective on which factors increase Alzheimer’s risk.
Michigan Daily: May 6, 2021

Research Symposium discusses the importance of models in the fight against COVID-19

Researchers and students from the University of Michigan gathered via Zoom Thursday to discuss the importance models and predictions played in the fight against the spread of COVID-19.

AI-powered interviewer provides guided reflection exercises during COVID-19 pandemic

The virtual interviewer uses therapeutic writing techniques to help users cope with difficult situations.