AI in Medical Imaging: Overcoming Key Diagnostic Challenges

This whitepaper examines how engineers can utilize AI and Generative AI in oncology imaging systems to enhance early detection, automate analysis, and facilitate predictive diagnostics. It addresses challenges such as image variability, data fusion, and computational complexity, while detailing system-level architecture and implementation considerations. Engineers will gain practical insights into scalable hardware design, deep learning model integration, and the future of AI-augmented radiology.