The opportunity to help shape the content of JDI as machine learning and artificial intelligence impact medical imaging and medical care is incredibly exciting for me. As we all know, digital medical imaging is integral to patient care because it has become an extension of the physical exam of the patient. It guides both initial diagnosis and ongoing care, particularly in oncology. This journal is the forum for the intellectual thinkers and practical implementers in our domain to present cutting edge developments to improve the quality and safety of patient care through digital imaging, including machine learning. Our field is also experiencing continuing expectations for integration with enterprise informatics and the new medical specialty of clinical informatics.

In view of these trends, and in addition to maintaining the journal’s pre-eminence for publishing hypothesis-driven and project description papers related to medical imaging, I plan to expand our scope to include multi-disciplinary papers describing the impact of imaging on medical care. Enterprise imaging and inter-enterprise image sharing are current topics of high importance.

Having been involved in the birth of the journal through the focused determination and vision of the founding editor Roger Bauman, I am committed to continue his ideas. I am honored and humbled to follow his footsteps and those of my dear colleagues “Dr. DICOM” Steve Horii, and our outgoing editor Janice Honeyman-Buck, who has guided the journal to excellence for over a decade and recently has been incredibly successful in improving the publishers’ measured impact factor of JDI.