Case Study: Chest X-rays
Understand the impact of bias in AI models used for chest X-ray diagnostics, focusing on underdiagnosis among minority and economically disadvantaged groups. Learn methods to identify biases in data and models, and explore practical mitigation techniques including data observability, model explainability, debiasing, and ongoing monitoring for fairer medical AI solutions.
We'll cover the following...
In this case study, we’ll be diving into a particular case of model bias in the medical sector. In December 2021, a
Background
Chest x-rays are one particularly useful area for ML and AI models to speed up diagnoses. Chest x-rays are easily obtainable data sources that have clear targets (diagnosis or no ...