Posted by Michael Wonder on 10 Jan 2023
Four types of bias in medical AI are running under the FDA’s radar
9 January 2023 - Although artificial intelligence is entering health care with great promise, clinical artificial intelligence tools are prone to bias and real world underperformance from inception to deployment, including the stages of dataset acquisition, labelling or annotating, algorithm training, and validation.
These biases can reinforce existing disparities in diagnosis and treatment.
