How AI can improve breast cancer detection

Applications of AI

Experts say artificial intelligence is a game-changer in breast cancer detection and will narrow the healthcare gap among federal priorities in cancer treatment.

Researchers are using artificial intelligence to rapidly analyze images of brain tumor biopsies produced by a technique called stimulated Raman histology (SRH).Photo credit: National Cancer Institute

about 1 in 8 women Breast cancer kills more than 40,000 women each year, but artificial intelligence (AI) can save lives before it does slow.

At the national level, cancer is a presidential priority. As part of the revived Cancer Moonshot Initiative, the National Cancer Institute this week unveiled an interagency plan to tackle cancer and reduce cancer mortality over the next decade. Some of them include tools like AI that make a difference in disease detection.

AI uses computer-aided detection to identify changes between mammograms.A computer-generated application is used to analyze mammograms and can spot abnormalities years before a typical cancer diagnosis..

“This is deep learning. It’s always learning. Not just pointing. [cancer] However, it points to malignant potential. “Every time a mammogram is analyzed, it is analyzed by an algorithm. marker

A study from the American College of Radiology Breast Imaging Reporting and Data System found that 1 in 8 breast cancer cases are missed by mammogram screening without AI.

For women with dense breasts, experts say AI is a game changer.

“We know that even highly trained professional radiologists have particular problems with very dense breasts,” says Brem. “Over 90% of breast cancers are found on mammograms. But if your breasts are very dense, even 60% of breast cancers can be invisible on a mammogram. ”

Nearly half of all women have dense breasts, making cancer more difficult to identify because the sensitivity of mammography is density-dependent.

Last month, the Food and Drug Administration (FDA) Guidance updated Made breast density reporting a national requirement.

“The radiologist didn’t miss it, it’s just that the computer can see what the human eye can’t,” says Brem.

This breakthrough technology also offers an opportunity to close the ever-widening healthcare gap in the United States.

“Implementing AI will allow general radiologists to replace subspecialized radiologists using AI in more rural areas of the country where many underserved people receive care. We know we can help you perform as well or better than that,” Brem said.

AI is transforming healthcare and changing the future of cancer diagnostics for all cancers. In 2021, the FDA will launch GI Genius, an AI tool to detect cancer during colonoscopies.

“The system was able to identify laboratory-confirmed adenomas or carcinomas in more than 55% of patients compared to 42% of patients with standard colonoscopy. Matthew DiamondChief Medical Officer for Digital Health at the FDA’s Center for Devices and Radiological Health.

“Combining AI with traditional screening and surveillance methods could catch problems early and make them easier to treat,” he added.

As AI continues to permeate healthcare, some radiologists and healthcare professionals worry that AI will take their jobs and jobs, Brem said.

“The answer is no, we need radiologists or humans working with AI to optimize opportunities with AI,” said Brem. “Don’t worry about how AI will affect your work. AI will only make us better radiologists, better engineers, and better in other areas. We can use both our experience and the objective analysis of AI to optimize patient care.”

AI systems are currently available, but not widespread. The system is used in at least five hospitals and clinics nationwide, performing 35,000 mammogram screenings annually.

“AI is coming. We’re not going to hold it back,” Brem said.

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