PhD candidate to serve term as Trainee Editorial Board member for journal Radiology: Artificial Intelligence

Niha Beig, a PhD candidate in biomedical engineering and researcher in the Center for Computational Imaging and Personalized Diagnostics, has been selected for a one-year term as a Trainee Editorial Board member for the journal Radiology: Artificial Intelligence

Radiology: Artificial Intelligence is a bi-monthly online production that focuses on highlighting the impact and applications of artificial intelligence in the medical field. In this role, Beig will learn the intricacies of scientific journalism, contribute to content on the applications of artificial intelligence in radiology and help continue to build the future of the journal. 

View the list of Radiology: Artificial Intelligence board members.