The study of artificial intelligence (AI) tools to support screening mammography must now shift from simulated research trials to robust clinical evaluations, according to Constance Lehman, MD, PhD, director of Breast Imaging at Massachusetts General Hospital
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- M.D.; Ph.D., Yale University School of Medicine
- Residency, University of Washington Medical Center
- Fellowship, Seattle Cancer Care Alliance of University of Washington
American Board Certifications
- Diagnostic Radiology, American Board of Radiology
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Dr. Lehman has served as principal investigator or co-investigator on numerous single and multi-institution clinical trials in breast MRI, mammography and ultrasound, including the ACRIN NEJM publication that reported adding MRI scans to examinations of women with breast cancer improves detection of a second cancer in the opposite breast. She is currently developing and evaluating new methods of deep learning to improve breast cancer detection, diagnosis and treatment. Collectively, her philosophy embodies the notion that we improve the health of our community by delivery the highest quality patient-centered care in a setting of active innovation and education.
- Press Release
- Apr | 7 | 2020
A new study finds that women who underwent 3D mammography were less likely to need follow-up tests and had a higher rate of cancer detection on their first exam, among other benefits, when compared to those who had 2D mammograms.
- Oct | 25 | 2017
Breast Imaging at Mass General is the first mammography facility in the country to offer women control over breast compression during a mammogram.
- Dec | 15 | 2017
Research at the MGH is interwoven throughout more than 30 departments, centers and units, and is conducted with the support and guidance of the MGH Research Institute. The Research Roundup is a monthly series highlighting studies, news and events.