21/12/2024
AI is transforming neuroradiology, boosting diagnostic accuracy and decision-making with deep learning. But there are hurdles—high costs, data reliance, and the “black box” nature of AI systems. Many radiologists are still skeptical, with AI often adding complexity to workflows. Success stories, like deep learning-based reconstructions and smarter prioritization systems, show how AI can improve care when integrated thoughtfully. The key? Balancing innovation with practical, seamless application to enhance efficiency without overloading radiologists.
Société Française de Radiologie - SFR Lenfant
