Radiologists Adopt AI-Assisted Navigation For Lesion Targeting
Radiologists increasingly specify AI-assisted navigation systems that guide needle placement toward difficult-to-locate lesions, a requirement that has converted targeting accuracy from a purely manual skill into a software-supported specification decision across major hospital radiology departments. This shift addresses a genuine sampling accuracy constraint, since freehand technique carries meaningful miss rates on small or deep lesions that repeated needle passes cannot always resolve. Several manufacturers have expanded navigation platforms with published targeting accuracy data, positioning this format as the category's clearest precision-driven growth driver heading into the next decade of adoption.
Market Impact: Adds 19% share via screening growth








