Can AI Improve Breast Cancer Diagnosis?

Can AI Improve Breast Cancer Diagnosis?

Information provided by breastcancer.org tells us that approximately 1 in 8 women and 1 in 833 men will be diagnosed with breast cancer during their lifetime. They estimate that in 2022 in the United States 287,850 new cases of invasive breast cancer will be diagnosed in women and about 2,710 new cases of invasive breast cancer are expected to be diagnosed in men.

October is breast cancer awareness month and the perfect opportunity to explore the use of artificial intelligence (AI) in diagnosing breast cancer. When breast cancer is diagnosed at an early stage, patients have a 93 percent or higher survival rate in the first five years. This week’s Domain Knowledge addresses the question…  Can AI improve breast cancer diagnosis?

Doctors using AI catch breast cancer more often than either does alone highlights work being done in Germany and the United States. Researchers are optimistic that more radiologists using AI will mean earlier breast cancer detection, which can positively impact survival rates.  Using an AI system could save lives by detecting missed cancers, freeing up radiologists to see more patients, and easing the burden in places where there is a lack of specialists.

The early detection of breast cancer, before cancer metastasizes, is critical in achieving the best possible patient outcomes. The case study, AI Helps to Detect Breast Cancer Earlier uses MammoScreen, an AI-guided system for breast cancer screening to assist radiologists in the diagnosis of breast cancer. 

Norwegian researchers compared the performance of a commercial AI system with routine independent double reading (peer review) in the study AI Shows Potential in Breast Cancer Screening Programs. Results from the study indicate (AI) is a promising tool for breast cancer detection in screening mammography programs.

That’s a wrap for this week’s review of news and happenings in the healthcare AI space. In closing, I’ll leave you with an invitation to learn more about the benefits of using an AI Hub to manage multiple applications across your clinical needs and offer you a personal demo of Ferrum’s platform and growing AI catalog.

If you have AI tips, suggestions, or resources you’d like to share, leave us a note below, and please feel free to suggest topics you would like to see covered in future posts.