Summary:

«It was trained and validated on datasets from the US, Europe and Asia.»

«Artificial intelligence and machine learning systems continue to be adopted into an ever wider array of healthcare applications, such as assisting doctors with medical image diagnostics. Capable of understanding X-rays and rapidly generating MRIs — sometimes even able to spot cases of COVID — these systems have also proven effective at noticing early signs of breast cancer which might otherwise be missed by radiologists. Google and IBM, as well as medical centers and university research teams around the world, have all sought to develop such cancer-catching algorithms.»

Article written by Andrew Tarantola

27|01|2021

Source:

Engadget

https://www.engadget.com/mi-ts-oncological-risk-algorithm-calculates-cancer-chances-across-all-races-190033653.html