machine learning
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:Â 11:45 a.m. Lunch, 12:00 p.m. start Location:Â 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 Fall Seminar Jie Ying Wu, PhD 11.3.22
Oct. 28, 2022—VISE Fall Seminar to be led by Jie Ying Wu, PhD Assistant Professor, Computer Science 91ºÚÁÏÍø Date: Thursday, November 3, 2022 Time:Â 11:45 a.m. Lunch, 12:00 p.m. start Location:Â Stevenson 5326 Title: Building better tools for surgeons through machine learning Abstract: Training for surgeons has long relied on the...
Dec. 7, 2021—A 91ºÚÁÏÍø 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.
Apr. 9, 2021—An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation.
Feb. 21, 2020—The idea of simultaneously analyzing medical diagnosis codes with electronic medical records has been much like knowing valuable treasure is buried under miles of rock but lacking the tools to mine it. The payoff—connections that may detect disease earlier and identify new research paths—has tantalized engineers and clinicians alike, remaining largely out of reach. But...
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 affiliate awarded 2019 AHA Predoctoral Fellowship
Jan. 16, 2019—A biomedical engineering graduate student who is participating in the Medical Scientist Training Program has received a two-year fellowship aimed at improving global cardiovascular health. Camilo Bermudez Noguera, a VISE affiliate in the MASI Lab, received the 2019 Predoctoral Fellowship from the American Heart Association. “I am incredibly excited for this opportunity. I believe this...
May. 8, 2018—Ultrasound technology for the brain could mean real-time images during surgery, a better idea of which areas get stimulated by certain feelings or actions and, ultimately, an effective way for people to control software and robotics by thinking about it.