Researchers identified 29 sources of potential bias in artificial intelligence and machine learning (AI/ML) models used in medical imaging, ranging from data collection to model deployment. The report provides insights into the limitations of AI/ML in medical imaging and suggests possible ways for their mitigation, paving the way for a more equitable and just deployment of medical imaging AI/ML models in the future.
