  Medical images constitute a source of information essential for disease
diagnosis, treatment and follow-up. In addition, due to its patient-specific
nature, imaging information represents a critical component required for
advancing precision medicine into clinical practice. This manuscript describes
recently developed technologies for better handling of image information:
photorealistic visualization of medical images with Cinematic Rendering,
artificial agents for in-depth image understanding, support for minimally
invasive procedures, and patient-specific computational models with enhanced
predictive power. Throughout the manuscript we will analyze the capabilities of
such technologies and extrapolate on their potential impact to advance the
quality of medical care, while reducing its cost.
