AI
VISE Fall Seminar with Ilker Hacihaliloglu, Ph.D.,11.7.24
Oct. 8, 2024—Join us for our next Fall Seminar with our guest, Ilker Hacihaliloglu, Ph.D. Associate Professor Department of Radiology Department of Medicine University of British Columbia, Canada Co-founder of PONS Inc. Date: Thursday, November 7, 2024 Location: Stevenson Center 5326 Time: 11:45 for lunch; noon start Title: AI-integrated point of care ultrasound imaging for decentralized healthcare Abstract: Noncommunicable...
Immersive lab seeks to bridge translational AI across a range of fields to drive discovery
May. 7, 2024—Vanderbilt University has created a transformational lab focused on leveraging immersive translational AI to drive discovery across disciplines ranging from medicine and materials science to the humanities, social science and education. Five VISE faculty affiliates will serve on the steering committee.
Targeted cancer therapy: AI-powered robot navigating lung tissue
Sep. 28, 2023—Researchers from UNC-Chapel Hill and Vanderbilt University have been diligently working on the creation of an incredibly flexible yet robust robot designed to traverse the intricate landscape of the lung. Their latest achievement, detailed in a recent publication in Science Robotics, showcases the robot’s autonomous capabilities in maneuvering from “Point A” to “Point B” within...
VISE Fall Seminar – Shuo Li, PhD, 9.7.23
Aug. 22, 2023—VISE Fall Seminar with Shuo Li, PhD Associate Professor, Case Western Reserve University Date: Thursday, September 7, 2023 Time: 11:45 a.m. Lunch, 12:00 p.m. start Location: Stevenson 5326 Title: AI-in-imaging: Unlocking the Full Potential of Medical Imaging Abstract: Based on advanced machine learning, Artificial Intelligence (AI) has the potential to bring about significant transformations in healthcare practices....
VISE affiliates part of an alliance supported by the NSF to boost AI-imaging in Middle Tennessee
Aug. 8, 2023—Vanderbilt researchers are part of an alliance supported by the National Science Foundation that seeks to build on the use of artificial intelligence (AI) in medical imaging in Middle Tennessee. Called the Mid-TN AI for Interdisciplinary Imaging Interpretation Alliance (AI4A), it is comprised of the School of Engineering, Vanderbilt University Medical Center, Fisk University, Tennessee...
Vanderbilt engineer leads DARPA project to enable AI machines to gain, share knowledge
Dec. 7, 2021—A Vanderbilt engineering professor is leading part of an international initiative to create advanced artificial intelligence programs that will enable machines to learn progressively over a lifetime and share those experiences with each other. Researchers hope the technology will allow machines to reuse information, adapt quickly to new conditions and collaborate by sharing information.
AI-based Tech to Improve Stroke Outcomes
Oct. 22, 2020—New assistive technologies allowing high-risk neurovascular procedures to be done more widely and easily are being developed by an interdisciplinary team of surgeons and engineers at Vanderbilt University Medical Center.
VISE affiliates are using machine learning to recognize affected skin in photos and help enhance automation
Mar. 21, 2019—Bioengineers and dermatologists join forces with help from machine learning. One challenge in developing new treatments for skin conditions is reliably quantifying affected areas. Research dermatologists must pore over images to demarcate lesion boundaries—and stay consistent in their assessments between images and patients. Researchers in pathology and radiology rely on similar approaches. New research suggests...
VISE and Siemen’s researchers develop AI system that automatically examines abdominal ultrasounds
Jun. 5, 2018—Sixty to seventy million people in the U.S. suffer from gastrointestinal diseases and the best way to clinically diagnose the exact problem is to perform an abdominal ultrasound. However, the process is labor intensive and sometimes inefficient. To help solve the issue, researchers from Siemens and Vanderbilt University developed a deep learning-based system that can automatically interpret...
MASI Lab teams up with EnvoyAI to develop segmentation algorithms
Jan. 9, 2018—The MASI lab is collaborating on the development of deep learning algorithms for abdomen segmentation that leverage artificial intelligence to better understand and diagnose disease. The MASI lab, affiliated with the Vanderbilt Institute for Surgery and Engineering, is working with a team from EnvoyAI, which aims to simplify access to new AI algorithms by providing...