Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases.

ABSTRACT:

Objectives

To compare results of selected performance measures in mammographic screening for an artificial intelligence (AI) system versus independent double reading by radiologists.

Methods

In this retrospective study, we analyzed data from 949 screen-detected breast cancers, 305 interval cancers, and 13,646 negative examinations performed in BreastScreen Norway during the period from 2010 to 2018. An AI system scored the examinations from 1 to 10, based on the risk of malignancy. Results from the AI system were compared to screening results after independent double reading. AI score 10 was set as the threshold. The results were stratified by mammographic density.

Results

A total of 92.7% of the screen-detected and 40.0% of the interval cancers had an AI score of 10.

SUBMITTER: Koch HW 

PROVIDER: S-EPMC10121532 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature