Google's AI is better at spotting advanced breast cancer than pathologists

  • Google's AI is better at spotting advanced breast cancer than pathologists

Google's AI is better at spotting advanced breast cancer than pathologists

Figuring out whether the cancer has spread to the lymph nodes is a key part of the staging process, but it can be a surprisingly tricky thing to judge.

The scientific report published on this issue explains that: "Artificial Intelligence Algorithms can exhaustively evaluate each occurrence, individually and in detail". Finding them is a time-intensive and hard task for pathologists.

Determining whether cancer has spread, or metastasized, from the primary site to nearby lymph nodes is a hard, time-intensive task for pathologists.

Google's software may one day help pathologists detect breast cancer more quickly than ever before, but don't expect the computers to put human doctors out of a job just yet.

Also last February, scientists from Google and Verily have created a medical machine based on mechanical learning and can accurately export basic information about an individual, including age and blood pressure, and if he or she is in danger of suffering a major a heart attack, such as a heart attack. For comparison, pathologists are on average 81pc accurate at detecting these cells when under time constraints. It not only reduced the rate of missed micro-metastases by a "factor of two", it cut the inspection time in half to a single minute. The team used two sets of pathological slides to train the algorithm to identify characteristics of tumors in varying conditions.

When and if LYNA will become ready for practical use, the benefits of the AI would be huge - not only it would allow doctors more to time care for their patients but it would also lead to more reliable and swift diagnoses that could save hundreds if not thousands of lives. The AI was tested under simulations and is yet to be practiced in the real-life situation where it can be trained to detect more tumors other than metastases.

What next: Google is applying AI to health care in a number of different projects.

"In the first paper, we applied our algorithm to de-identified pathology slides from both the Camelyon Challenge and an independent dataset provided by our co-authors at the Naval Medical Center San Diego", Google said in its blog post.