Researchers are working to improve radiologists ’ interpretation of AI data.
The wide range of applications for artificial intelligence alone are impressive. Researchers used mammograms of breast cancer to compare radiologists and AI assessments, to understand how AI and humans look at the images and find regions of potential concern. They learned, when you pair up human ...This is an NSF Multimedia Gallery item. (Source: NSF Multimedia Gallery)
Source: NSF Multimedia Gallery - May 12, 2022 Category: Science Source Type: video
Advances in detecting, treating breast cancer
Deep Dive: From Google ' s AI for mammograms to clinical trial recruitment, digital health is tackling some of the biggest challenges in the breast cancer space. (Source: Healthcare ITNews Videos)
Source: Healthcare ITNews Videos - October 20, 2020 Category: Information Technology Tags: Population Health Women In Health IT Source Type: video
Postponed (Date to be Determined) - ORWH Women's Health Seminar Series: Tomosynthesis Mammographic Imaging Screening Trial (TMIST)
The Tomosynthesis Mammographic Imaging Screening Trial (TMIST) is a randomized breast screening trial that will help researchers learn about the best ways to find breast cancer in women who have no symptoms. It compares two Food and Drug Administration-approved types of digital mammography: standard digital mammography (2-D) with a newer technology called tomosynthesis mammography (3-D). Researchers are doing this trial because they do not know if 3-D mammography is better than 2-D mammography for breast cancer screening.For more information go tohttps://orwh.od.nih.gov/Air date: 6/20/2019 1:00:00 PM (Source: Videocast - All Events)
Source: Videocast - All Events - June 18, 2019 Category: General Medicine Tags: Upcoming Events Source Type: video
ORWH Women's Health Seminar Series: Tomosynthesis Mammographic Imaging Screening Trial (TMIST)
The Tomosynthesis Mammographic Imaging Screening Trial (TMIST) is a randomized breast screening trial that will help researchers learn about the best ways to find breast cancer in women who have no symptoms. It compares two Food and Drug Administration-approved types of digital mammography: standard digital mammography (2-D) with a newer technology called tomosynthesis mammography (3-D). Researchers are doing this trial because they do not know if 3-D mammography is better than 2-D mammography for breast cancer screening.For more information go tohttps://orwh.od.nih.gov/Air date: 6/20/2019 1:00:00 PM (Source: Videocast - All Events)
Source: Videocast - All Events - April 11, 2019 Category: General Medicine Tags: Upcoming Events Source Type: video
Wertheimer Remembrance: The challenge of shared decision making between physicians and patients
In Remembrance of Alan Wertheimer, PhD, the CC Department of Bioethics Presents the First Annual Widening the Lens Lecture
Alan Wertheimer's contributions to bioethics were far reaching and invaluable. After a very successful career in Political Science at the University of Vermont, Alan embraced bioethics with intellectual curiosity and acumen, often challenging prevailing views and urging broader thinking. He practiced a fruitful method - Widening the Lens (reflected in the title of this lecture and the subtitle of his last book), challenging all of us to consider why the norms and principles that guide our thinking abo...
Source: Videocast - All Events - March 7, 2016 Category: Journals (General) Tags: Upcoming Events Source Type: video
Screening Mammography: Science, Policy, and Politics - the Good, the Bad, and the Ugly
Presented by: Diana B. Petitti, MD, MPH, Adjunct Professor of Biomedical Informatics, Arizona State UniversityCategory: SpecialAired date: 07/24/2013 (Source: Videocast - All Events)
Source: Videocast - All Events - July 25, 2013 Category: Journals (General) Tags: Past Events Source Type: video
Screening Mammography: Science, Policy, and Politics - the Good, the Bad, and the Ugly
The 2013 Annual Advances in Cancer Prevention Lecture will be given by Dr. Diana B. Petitti, widely regarded as one of the world's leading epidemiologic experts on hormones and disease. Her recent work has focussed on the applications of systematic review, meta-analysis and decision analysis to the formulation os health policy.
Dr. Petitti received her BA degree from Cornell University, her MD from Harvard Medical School, and her MPH from Berkeley School of Public Health. She has held positions with the Centers for Disease Control as an Epidemic Intelligence Service officer, as a faculty member at the University of Cali...
Source: Videocast - All Events - June 27, 2013 Category: Journals (General) Tags: Upcoming Events Source Type: video
