
Impact of deep learning reconstruction on radiation dose reduction and cancer risk in CT examinations
Deep‑learning reconstruction (DLR) shifts CT image formation from a hardware‑limited process to a data‑driven one. In our real‑world cohort of >10,000 body scans, we observed a 45% fall in effective dose and a halving of lifetime attributable cancer risk without sacrificing diagnostic confidence. The message is simple: When the image quality can be algorithmically recovered, radiologists are no longer forced to