Special Feature - Artificial IntelligenceDec 10, 2019 Potential for racial bias raises concerns for radiology AI A preprint study that raised troublesome questions last year about potential bias in radiology artificial intelligence (AI) algorithms has now been formally published in the Lancet Digital Health with the same conclusions. Learn more Latest in HomePET improves treatment planning for pituitary tumorsApril 28, 2026SponsoredRadiology is Under PressureApril 28, 2026Radiology researchers weigh in on the impact of the political climateApril 27, 2026Children ‘almost invisible’ in public imaging datasetsApril 27, 2026Related StoriesHomeWinners of 20th annual Minnies are radiology's bestHomeWinners of 20th annual Minnies are radiology's bestHomeMeet the Minnies 2019 finalistsSponsor ContentRadiology is Under Pressure
![A 53-year-old patient (patient number four) with a recurrent pituitary adenoma with extension of a cystic component of disease to the medial temporal lobe apparent on MRI (contoured in blue), and extension of disease to the left sphenoid bone and orbital apex apparent on [68Ga]Ga-DOTA-TATE (contoured in yellow).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/pituitary-tumor.QGsEnyB4bU.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)
![A 53-year-old patient (patient number four) with a recurrent pituitary adenoma with extension of a cystic component of disease to the medial temporal lobe apparent on MRI (contoured in blue), and extension of disease to the left sphenoid bone and orbital apex apparent on [68Ga]Ga-DOTA-TATE (contoured in yellow).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/pituitary-tumor.QGsEnyB4bU.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
