The return on investment for artificial intelligence in enterprise imaging is a multifaceted subject that encompasses efficiency, accuracy, patient outcomes and financial considerations. In the realm of radiology, AI’s surge has promised to revolutionize the field by increasing diagnostic precision and improving patient care. However, the financial aspect of AI adoption is complex, particularly due