医用画像情報研究の10年後について －イメージングを中心に－

抄録

This review explores the future of medical imaging technologies over the next decade, with a focus on virtual imaging. Advances in artificial intelligence (AI) and Monte Carlo (MC) simulations have enabled the development of virtual imaging systems that can accurately replicate imaging conditions and acquisition processes. These innovations facilitate novel imaging techniques, such as low-energy imaging and phase-contrast X-ray imaging, which were previously challenging to implement in clinical settings. Virtual clinical trials (VCTs), leveraging AI and MC-based technologies, present a promising alternative to traditional trials by addressing ethical concerns, reducing costs, and minimizing patient exposure to radiation and contrast agents. Furthermore, AI-driven computer-aided diagnosis (CAD) systems enhance the interpretation of virtual imaging data, improving diagnostic efficiency and reproductivity. As these technologies advance, they are expected to accelerate the development of new imaging modalities and medical devices, ultimately contributing to safer and more effective healthcare solutions. This review highlights the current state and future potential of AI and MC-based virtual imaging technologies, emphasizing their transformative impact on medical imaging research and clinical applications.