The FDA allows AI tools to predict breast cancer risk
Senior Medical Analyst Dr. Mark Siegel discusses the future risks of breast cancer and advances in artificial intelligence aimed at predicting an increase in health risks from cannabis with users age.
newYou can listen to Fox’s news articles!
The US Food and Drug Administration (FDA) has approved the first artificial intelligence (AI) tool for predicting Risk of breast cancer.
The permit was confirmed by Clairity, a digital health technology company that is the developer of Clarity Brest. This is a new image-based prognostic platform designed to predict breast cancer risk over 5 years from routine screening mammograms.
In the press release, Clarity AI Platform Beyond the healthcare system until 2025.
AI detects ovarian cancer better than human experts in new research
According to Clairety, most risk assessment models for breast cancer are heavily dependent on age and family history.
However, in women with no family history of breast cancer, about 85% of cases occur, and possibly may arise from Genetic variation It occurs due to aging, health agencies report.
Clairity Breast is FDA-sanctioned, an AI tool that predicts the risk of breast cancer via mammograms. (istock)
Traditional risk models are built primarily on data from white women in Europe. Claire states that it is “ungeneralized” against a diverse background.
The AI tool analyzes subtle images of screening mammograms that correlate with breast cancer risk, generates “validated 5-year risk scores” and distributes them to healthcare providers, the company said.
AI detects breast cancer in women after being “deeply grateful” after missing routine screening
Dr. Connie Lehman, founder and breast imaging specialist of Brigham Popular General Creatie, highlighted the importance of mammograms in early cancer detection.
“Now progress AI and computer vision You can discover hidden clues (invisible to the human eye) in mammograms that can help you predict future risks,” she said in a press release.
Mammograms have been an important part of breast cancer detection for decades. (istock)
“Providing a validated, unbiased risk assessment will help expand access to early detection and prevention that saves women’s lives everywhere.”
Click here to get the Fox News app
Dr. Robert A. Smith, Senior Vice President of Early Cancer Detection Science at the American Cancer Society, commented in a statement that personalized risk-based screening is “critical to improving breast cancer outcomes, and AI tools provide the best opportunity to meet that potential.”
“This is a wave of the future. AI will become part of the equation, but it will not take over.”
“Clairity’s FDA approval is a turning point for more women to access scientific advances in AI-driven cancer risk prediction,” wrote Larry Norton, who founded the science director of the Breast Cancer Research Foundation, in a separate statement.
“Breast cancer is on the rise, especially among younger women, but most risk models often overlook people who develop the disease,” he said. “Now we can ensure that more women get the right care at the right time.”
“Advances in AI and computer vision could reveal hidden clues in mammograms,” said the founder of Clairity. (istock)
Despite “decades of progress,” more than 2.3 million women are diagnosed with breast cancer worldwide each year, including over 370,000 in the United States.
Cases are particularly rising among young women under the age of 50.
Click here to sign up for our health newsletter
In an appearance on “American Newsroom” Tuesday, Fox News senior medical analyst Dr. Marc Siegel called the development of Clairity “Frofound.”
“I just look at the mammogram… sometimes [radiologists] You will see something that is not clear, they have to follow it over time,” he said. [shown] The research is very dramatically. ”
Young women are diagnosed with breast cancer more frequently, data show. (istock)
Siegel confirmed that radiologists across the country generally support the use of AI for cancer detection, particularly in areas of “underserved” countries, from a medical perspective.
Visit us for more health articles www.foxnews.com/health
“This is even more important in areas where radiologists are dependent without special training,” he said.
“This is a wave of the future. AI will become part of the equation, but it will not take over.”
