The rise of AI in radiology—and what the future holds

When it comes to the adoption of artificial intelligence (AI) in medicine, radiology is leading the charge. As of May 13, 2024, the US Food and Drug Administration (FDA) had approved nearly 900 AI- and machine learning (ML)-enabled devices, and the vast majority of them are in radiology. One example is startup Envisionit Deep AI’s Radify chest X-ray software, which enables doctors to diagnose the dangerous lung conditions pneumothorax and pleural effusion in emergency rooms and intensive care units in just 3 seconds on average. Another is the TumorSight digital platform from SimBioSys. This system uses standard imaging from a breast cancer patient to create a 3D model of the tumor, providing additional insights on volume, distance to anatomical features, and more for guiding treatment.