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Unveiling the Hidden Biases in Medical AI: Paving the Way for Fairer and More Accurate Imaging Diagnoses

This shows a brain on a computer screenResearchers 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.

from Neuroscience News https://ift.tt/lexKS4O
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