Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...

Data localization, the mandate that data of a country’s citizens be stored within the borders of that country, is a thorny issue dividing policymakers across the globe. In the global policy arena, ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...