Artificial intelligence (AI) has arrived in oncology not as a distant forecast but as a daily reality, shaping how notes get written, how tumor boards prepare, how treatment plans are optimized, and how patients navigate a system that was already formidably complex before algorithms entered the exam room. The question facing clinicians is no longer whether AI belongs in cancer care, but how to deploy it rigorously, equitably, and without losing the irreplaceable human core of medicine.
