AI and ML in radiology: Making progress

Artificial intelligence (AI) in radiology has seen a rapid expansion of its literature in recent years. Between 2000 and 2018, there has been global exponential growth of AI research-related publications in radiology. 1 West E. Mutasa S. Zhu Z. et al. Global trend in artificial intelligence–based publications in radiology from 2000 to 2018. AJR Am J Roentgenol. 2019; 213: 1204-1206https://doi.org/10.2214/AJR.19.21346 Crossref PubMed Scopus (45) Google Scholar In this special issue, Hughes et al. have identified the top 100 articles in the field, as ranked by the total number of citations 2 Hughes H. O’Reilly M. McVeigh N. et al. The top 100 most cited articles on artificial intelligence in radiology: a bibliometric analysis. Clin Radiol. 2023; 78: 99-106 Abstract Full Text Full Text PDF PubMed Scopus (1) Google Scholar ; the United States is the most common country of origin (42%), followed by the Netherlands (11%), and China (9%). The top three subject areas covered by these papers were neuroimaging, oncology, and respiratory.