Medical know-how firm iCAD Inc. introduced on Monday it has signed a commercialization settlement with Google Well being to make the most of its synthetic intelligence (AI) know-how for the development of breast most cancers screenings.
In an announcement, iCAD stated Google shall be licensing its AI tech for “breast most cancers and customized danger evaluation.” This marks the primary occasion during which Google has entered right into a business partnership to make use of its AI imaging know-how for medical observe.
Google stated in its personal assertion that its mammography AI know-how shall be included into iCAD’s merchandise. In accordance with each corporations, the last word objective of this partnership is to enhance breast most cancers detection and evaluation of short-term private most cancers danger.
“Becoming a member of forces with Google marks a historic milestone for our Firm, as leveraging Google’s world-class AI and Cloud know-how elevates the caliber of our market-leading breast AI applied sciences and may speed up adoption and develop entry on a worldwide scale,” stated Stacey Stevens, iCAD’s president and CEO.
The corporate already makes use of AI know-how in its breast most cancers screenings. Stevens stated the inclusion of Google’s AI will enable iCAD to “enhance the efficiency of our algorithms for each 2D and 3D mammography.”
Greg Corrado, head of Well being AI at Google, referred to as the partnership an “inflection level.”
“After a number of years of funding and intentional analysis and testing, we’re now able to companion with iCAD to take the subsequent steps towards integrating this know-how right into a real-world medical setting and work collectively to make a distinction within the lives of thousands and thousands of individuals present process breast most cancers screening,” Corrado stated.
In 2020, a research was revealed that discovered Google’s AI outperformed radiologists in each the UK and the U.S. when it got here to precisely detecting breast cancers, lowering the charges of false positives and false negatives.