The firm’s deep-learning tool was able to correctly distinguish metastatic cancer 99% of the time, a greater accuracy rate than human pathologists.
The system: The team trained an algorithm (named Lymph Node Assistant, or LYNA) to spot the features of tumors that have metastasized (that is, spread), which are notoriously difficult to detect. Of the half a million deaths worldwide caused by breast cancer, 90% are due to metastasis.
Gold standard: The 99% rate is superior to the performance of human pathologists, and the algorithm was also better at finding small metastases on individual slides. Human pathologists can miss these as much as 62% of the time when under time pressure, studies have shown.
Don’t settle for half the story.
Get paywall-free access to technology news for the here and now.