A Reddit discussion on r/MachineLearning surfaced an arXiv study on age-related bias in breast MRI segmentation. The paper says automated labels can distort fairness measurement through a 'Biased Ruler' effect and that poorer performance for younger patients is not fully explained by breast density alone.
Google says joint research with Imperial College London and the UK’s NHS found that an experimental AI system identified 25% of interval cancers missed by conventional screening. The studies also suggest AI could reduce screening workload, while highlighting trust and calibration challenges in real clinical workflows.
On March 10, 2026, Google published new results with Imperial College London and the UK NHS showing an experimental AI system identified 25% of previously missed interval cancers. A second study suggested AI could reduce screening workload by an estimated 40% when used as the second reader.