In recent years, AI software that helps radiologists detect problems or diagnose cancer using mammography has been moving into clinical use.
This extra review has enormous potential to improve the detection of suspicious breast masses and lead to earlier diagnoses of breast cancer.
With RadNet’s AI tool, “it’s as if all patients get the benefit of our very top performer.”But is the tech analysis worth the extra cost to patients?
The health system has developed AI models and is testing the technology with mammograms but doesn’t yet offer it to patients, she said.
In the late 1980s and early 1990s, “computer-assisted detection” software promised to improve breast cancer detection.
Persons:
“, ”, Etta Pisano, RadNet, Gregory Sorensen, Sorensen, generalists, ” Sorensen, Laura Heacock, NYU Langone Health’s, Heacock, it’s, Constance Lehman, ” Lehman, RadNet’s, Dr, Sanjay Gupta, Christoph Lee, mammography, Robert Smith, ” Smith, Smith, we’re
Organizations:
Health, American College of Radiology, NYU, Cancer, “, National Cancer Institute, FDA, Medicare, Services, CMS, Radiology, Massachusetts General Hospital, Harvard Medical School, Imaging Research, Mass, Get CNN, CNN Health, Screening, Research, University of Washington School of Medicine, American Cancer Society, Kaiser Health, KFF
Locations:
Manhattan, Baltimore, RadNet, New York, New Jersey, mammograms, Boston, Massachusetts, United States, Europe, Sweden, U.S