Perspective on Bias in Biomedical AI: Preventing Downstream Healthcare Disparities

ArXi:2604.14514v1 Announce Type: new Healthcare disparities persist across socioeconomic boundaries, often attributed to unequal access to screening, diagnostics, and therapeutics. However, this perspective highlights that critical biases can emerge much earlier, during data collection and research prioritization, long before clinical implementation in cases where the focus of the studies and the data that is collected is at the molecular level.