artificial intelligence Archives
May. 13, 2022—New Vanderbilt research is pointing to solutions for efficient clinical prediction of suicide attempt or suicidal thinking in adults.
Dec. 16, 2021— by Matt Batcheldor The Vanderbilt Lung Institute is the first location in Tennessee to debut Optellum Virtual Lung Nodule Clinic comprehensive management software that, using artificial intelligence, can identify and track patients at risk for lung cancer — even if they have never been in for a cancer screening. That’s because the Optellum software...
Oct. 21, 2021—Vanderbilt is playing a key role in a new NIH flagship initiative, the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity.
Oct. 19, 2021—Researchers at Vanderbilt and the Tennessee Department of Health have developed 30-day predictive models for fatal and non-fatal opioid-related overdose among patients receiving opioid prescriptions in the state.
Sep. 30, 2021—A team at Vanderbilt University Medical Center used machine learning to predict the likelihood of next-day brain function status changes in critical care patients.
Jan. 5, 2021—Researchers at Vanderbilt University Medical Center and Case Western Reserve University in Cleveland have been awarded a five-year, $3.3 million grant by the National Cancer Institute to apply artificial intelligence (AI) to help customize treatment for oral cancer patients.
Dec. 10, 2020—Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.
Aug. 27, 2020—Taking an interest in electronic message threads between surgical patients and their health care teams, a research group at Vanderbilt University Medical Center has tested how well certain commonly used machine learning algorithms can classify such exchanges according to their clinical decision-making complexity.
Feb. 13, 2020—A new algorithm for artificial intelligence-assisted calcium scoring can accurately determine cardiovascular risk across a range of CT scans and in a racially diverse population.
Dec. 18, 2019—The current explosion of investment and development in health care AI is happening without an underpinning of consensus of responsible, transparent deployment, which potentially constrains its potential.