We should use AI to develop recommendations for breast cancer screening protocols based on quantified risk, factoring in family history, ethnicity, genetics, and density, et al. – and then support the use of powerful new imaging AI technologies for those cases that demand a deeper look.
Medical device companies, hospitals, doctors and some patient advocates have put their marketing muscle and millions of dollars behind 3D mammograms, even though the U.S. Preventive Services Task Force hasn't found it to be more effective than traditional mammograms.
The progress in artificial intelligence (AI) is reshaping patient care, across various dimensions, from facilitating faster discharge to curating treatment plans and suggesting lifestyle changes.
A U.K. startup has raised money to ramp up commercialization of its novel CE-Marked breast imaging technology to detect cancer earlier in younger women.
According to The National Breast Cancer Foundation, 98 percent of breast cancer patients survive – if detection occurs early. Since the late 1960s, traditional mammography has been used widely for breast cancer detection. The future of breast cancer care, however, lies in even earlier detection and individually tailored diagnosis and treatment, and imaging manufacturers are […]