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A U.S. boob - screening programclaimsto demo thepotential benefitsof using artificial intelligence agency ( AI ) in mammography screening , with women who pay up for AI - enhanced scan 21 % more probable to have cancer detected .
DeepHealth , an AI firmowned byradiology heavyweight RadNet , confront its findingsat the annual get together of the Radiological Society of North America ( RSNA ) , detailing 747,604 women who underwent mammography screening over a 12 - month period . Overall genus Cancer detection rates were 43 % higher for those enrolled in the program compared to those who were n’t . However , some of the women also opted to have “ U.S. Food and Drug Administration - compliant AI computer software ” applied to their mammogram ( at their own disbursal ) , serve as a “ second hardening of optic ” to assist radiotherapist descry anomalousness in mammography cover .
The determination propose that 22 % of the overall cancer detection increase was due to the fact that eminent - risk patients were more likely to enroll in the programme to begin with ( implying excerpt prejudice ) , but its psychoanalysis conclude that the remaining 21 % was due to the use of AI in driving recall rates for extra tomography .
This is far from conclusive , though , and the researcher are now seek to “ better quantify ” the benefits of AI in this setting through randomise controlled tryout .