Roadmap To Fair Ai: Revealing Biases In Ai Models For Medical Imaging

Artificial intelligence and machine learning (AI/ML) technologies are being used in the medical field for diagnosis, prognosis, risk assessment, and treatment response assessment of various diseases. AI/ML models are increasingly being used for the analysis of medical images such as X-ray, computed tomography, and magnetic resonance images. However, it is difficult to develop AI/ML models that work well for all members of a population and can be generalized to all circumstances. It is important to address potential biases in AI/ML models for medical imaging and develop strategies to mitigate them in order to ensure fairness, equity, and trust.