{"id":17338,"date":"2023-08-09T00:00:00","date_gmt":"2023-08-09T00:00:00","guid":{"rendered":"https:\/\/1millionbestdownloads.com\/artificial-intelligence-mammogram-screening-7571176\/"},"modified":"2023-08-09T00:00:00","modified_gmt":"2023-08-09T00:00:00","slug":"artificial-intelligence-mammogram-screening-7571176","status":"publish","type":"post","link":"https:\/\/1millionbestdownloads.com\/artificial-intelligence-mammogram-screening-7571176\/","title":{"rendered":"Could Using AI on Mammograms Help Detect Even More Breast Cancers?"},"content":{"rendered":"
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New research found that AI-supported mammogram screening was 20% more likely to detect breast cancer than trained doctors.<\/span><\/li>\n
Researchers emphasized that the technology needs to be used in tandem with a radiologist, but it could make the screening process more accurate and efficient.<\/li>\n
This is particularly important as the United States is facing both a shortage of radiologists and an aging population that requires more imaging as part of their health care.<\/span><\/li>\n<\/ul>\n
\nArtificial intelligence (AI) may be able to better detect breast cancer on mammogram images than trained doctors, a new study found.<\/span>\n<\/p>\n
\nThe American Cancer Society recommends women who are not at higher risk for breast cancer start annual mammograms by age 45 and should have the choice to start as early as 40.<\/span> There are many factors, including breast density, that can make it difficult to detect tumors with the human eye.\n<\/p>\n
\nThat said, about 1 in 8 cases of breast cancer are missed on mammograms.<\/span> The new study found that AI may be able to help resolve that problem.\n<\/p>\n
\nAI-supported breast cancer screening isn\u2019t perfect yet, but it could help lower overburdened doctors\u2019 workloads in the future and make mammogram readings more accurate.\u00a0\n<\/p>\n
\n\u201cA challenging part of reading screening exams is that the vast majority of exams are normal,\u201d said Kristina L\u00e5ng, MD, PhD, an associate professor of radiology diagnostics from Lund University in Sweden, who led the study.\n<\/p>\n
\n\u201cWhen you have read hundreds of normal exams, radiologists can sometimes overlook a subtle cancer,\u201d she said.\n<\/p>\n