Boston: Earlier this year, researchers at Northeastern University presented a web-based artificial intelligence tool capable of diagnosing prostate cancer in less time and at a more accurate rate.
Now, the same group led by Saeed Amal, professor of bioengineering, has developed a new artificial intelligence model for breast cancer detection that can achieve 99.72 percent accurate results.
According to the American Cancer Society, breast cancer accounts for 30 percent of new cancer cases in women each year, and an estimated 42,500 women will die from the disease in 2024.
These projects are part of a larger effort by Saeed Amal to create an online framework through which doctors will be able to diagnose cancer using these advanced artificial intelligence technologies.
According to Professor Saeed Amal, this new device will give a new look to digital pathology.
He said artificial intelligence will look at high-resolution images and learn from past data how to identify and diagnose cancer patterns. AI biopsies can’t save tumors and diagnose 10 or 20 people. After that, its performance will not deteriorate.
The research was recently published in the journal Cancer.
