The following abstract is drawn from a recently published paper in European Journal of Radiology Artificial Intelligence | ScienceDirect.com by Elsevier. We invite you to read the full paper and join the conversation, become a member of the Pathology News community to share your thoughts, ask questions, and engage with others around this work.

Authors: Evis Sala^a,*, Mathias Goyen ^b,c

Abstract

Artificial Intelligence (AI) is a transformative force that is reshaping the very foundations of diagnostic medicine. As AI-driven technologies increasingly blur the boundaries between image interpretation and tissue analysis, the rationale for maintaining radiology and pathology as separate specialties becomes less compelling. A merger into a unified specialty – diagnostic medicine – could offer new opportunities for synergy, enabling  clinicians to deliver more accurate, timely, and personalized care. This paper argues that the convergence of radiology and pathology is not only a  likely development but also important for the future of precision medicine. The integration of imaging, histopathology, and molecular diagnostics will support a new generation of diagnosticians equipped to navigate complex data landscapes and guide clinical decision-making with deeper insight.

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Read the full article: E pluribus unum: The diagnostician: Will Artificial Intelligence prompt a merger of radiology and pathology into one specialty? – ScienceDirect

^aUniversità Cattolica del Sacro Cuore, Chair, Department of Diagnostic Imaging and Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli, 8, Roma 00168, Italy

^bUniversity of Hamburg, Germany

^cGE HealthCare, Waukesha, WI, USA