by | Feb 27, 2020 | Green, Olga, Mutic, Sasa, Park, Chunjoo (Justin), Zhang, Hao
— Technology Description
A team of researchers at Washington University School of Medicine developed deep learning image processing techniques to improve MRI diagnostics and potentially enable faster, more precise MRI-guided radiation therapy without exposing patients to radiation from CT imaging. S…
by | Jan 6, 2020 | Cahill, Alison, Cuculich, Phillip, Schwartz, Alan, Wang, Yong
— Technology Description
Researchers at Washington University in St. Louis have developed an electromyometrial imaging (EMMI) method to non-invasively monitor uterine contractions. During pregnancy, many women experience preterm contractions. Sometimes these contractions progress to pre-term labor a…
by | Nov 18, 2019 | Altman, Michael, Green, Olga, Kavanaugh, James, Li, Hua, Mutic, Sasa, Wooten, Hasani
— Technology Description
A team of researchers at Washington University has created a machine learning method to quickly and reliably validate patient contours in digital medical images for radiation therapy and computer aided image analysis.
Currently, automated contouring tools for delineating tu…
by | Oct 22, 2019 | Colditz, Graham, McQueen, Amy, Sumner, Walton
— Quit Helpers is an interactive web-based tool to recommend pharmacotherapy to smokers based on medical and personal factors. Although general information about cessation aids is abundant, Quit Helpers automates the process of identifying a specific cessation aid or combination of aids for individua…
by | Oct 22, 2019 | Black, Kevin, Gordon, Mollie, Schroeder, Miriam, Striley, Catherine, Vachon, Matthew
— This is a brief (5 minutes exposition plus just under 5 minutes of questions) video that was designed for epidemiological research in tic disorders (including Tourette syndrome). The video shows lay people the broad definition of tics, so they can more accurately answer questions about whether they…