Augmenting radiology through artificial intelligence: a bibliometric review of the evolving role of radiologists

The integration of artificial intelligence (AI) into radiology is modifying clinical practice, workflows and reshaping the roles and responsibilities of radiologists. The bibliometric review analyzes the evolving intersection of AI and radiology literature by examining 364 peer-reviewed publications from 2019 to 2024 retrieved from major academic databases. The data was analyzed using a bibliometric analysis, and four clusters were identified as key areas: radiology practice, disease-specific imaging applications, technical performance evaluation, and ethical considerations. The findings reveal an increasing volume of AI-related radiology research and highlight the potential of AI to enhance radiology practice and the continued necessity of radiologists’ expertise. The study contributes to the literature by offering a bibliometric analysis of the influence of AI on radiology practice, current trends, and underexplored areas. The findings inform future research and guide the strategic integration of AI into radiological education, clinical practice, and communication.