News

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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

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.

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.