Boston: Earlier this year, Northeastern University researchers introduced a web-based artificial intelligence tool that can diagnose prostate cancer with better accuracy in less time.
Now, the same team, led by bioengineering professor Saeed Amal, has developed a new AI model for breast cancer diagnosis that can achieve an accuracy rate of 99.72%.
According to the American Cancer Society, breast cancer accounts for 30% of all new cancers in women each year, and 42,500 women are expected to die from the disease in 2024.
The project is part of Said Amal’s larger effort to create an online framework that will enable doctors to use advanced AI technology to diagnose cancer.
Professor Said Amal said this new tool will revolutionize digital pathology. He explained that AI will analyze high-resolution images and learn from previous data how to detect and diagnose cancer. Unlike human biopsy tests, AI will not miss tumors and performance will not deteriorate after detecting 10 or 20 cases.
The study was recently published in the journal Cancer.
