AI won’t replace radiologists, but it will dramatically change their jobs

A pioneering AI scientist predicted that computers would replace radiologists within five years, but radiology's workforce is actually growing. AI tools in radiology are now very common in medical devices, with some improving on human performance by identifying abnormalities invisible to the human eye, though the average human error rate in diagnostic imaging remains significant at an estimated 3 to 5 percent. Rather than replacing radiologists, the emerging approach is designing collaborative systems where radiologists work alongside AI to combine the technical precision of machines with human experience and judgment, though this requires radiologists to develop new skills in evaluating AI decisions, particularly with "black box" neural network systems that do not reveal how they reached their conclusions.