RSNAI Monthly—April 2026 

The Radiological Society of North America (RSNA) leads the charge in advancing artificial intelligence (AI) as a tool to drive excellence in patient care and health care delivery. RSNAI Monthly is a collection of media briefs to help news outlets stay abreast of RSNA’s latest AI initiatives.

RSNA Journals Put AI to the Test
In its April issue, RSNA’s flagship journal Radiology examined deep learning models for quantifying coronary plaque on CT angiography, mapping Alzheimer’s disease-related abnormalities on PET and predicting bone mineral density on pediatric chest X-rays.   

Studies in RSNA’s journal Radiology: Imaging Cancer evaluated AI as a second reader in community breast cancer screening, deep learning and radiomics models for lymph node metastasis in early-stage cervical cancer, an AI-driven triage workflow for prostate cancer on MRI and ONCO-RADS-guided large language models to extract and classify incidental findings on whole-body imaging reports.

RSNA’s journal Radiology: Artificial Intelligence explored deep learning models that estimated “radiologic age” in a Korean cohort and predicted how breast cancer will respond to pre-surgical therapy. A multicenter review assessed how the first commercial AI model for detecting intracranial occlusions on CT angiography held up in a clinical setting.

With its suite of six premier journals, RSNA covers the breadth of groundbreaking research, career-advancing education, and specialty-focused techniques and trends for medical imaging professionals.

750+ Professionals Earn RSNA AI Imaging Certificates   
More than 750 medical imaging professionals have earned certification from RSNA’s Imaging AI Certificate Program, which offers on-demand training that blends a case-based curriculum with practical applications in four course tracks. Participants can earn a Foundational Certificate, Advanced Certificate, Emergency Certificate or Chest Certificate to improve knowledge and skills in medical imaging AI. The program is open to radiology professionals at any career stage, and RSNA offers both individual enrollment and resident group enrollment. Nearly 1,900 participants have enrolled since the program’s inception in 2021.

MIDRC Seminar Open to Medical Community
The Medical Imaging and Data Resource Center (MIDRC), funded by the National Institute of Biomedical Imaging and hosted at the University of Chicago, is co-led by RSNA, the American College of Radiology, and the American Association of Physicists in Medicine. Held on the third Tuesday of the month, the Seminar Series is an opportunity for members of the medical community at large to hear directly from the MIDRC team. The next session, planned for Tuesday, May 12, will feature research presentations from MIDRC investigators on new and noteworthy advances, and will include a live Q&A session for all attendees. Free registration is required.