Opening doors to AI in medical imaging: lessons from REPU

Internet publication

It is often said that talent is universal, but opportunity is not, and the development of artificial intelligence is no exception. Many students in low- and middle-income countries face barriers that prevent them from joining global research, including financial limitations, visa constraints, and scarce access to specialized infrastructure. Medical imaging AI research requires mentorship, curated data, and computational resources that can be difficult for these students to reach. When these obstacles are reduced, students show how much potential they have when supported.

Authors: Gonzales, RA

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: The Vasty Deep, Radiology: Artificial Intelligence’s Editor Blog
• Publication date: 2025-12-10
• Language: English
• Keywords: SBTMR