Artificial Intelligence
RSNA leads radiology in the practical, ethical application of AI—advancing intelligent patient care through education, research, data curation and collaboration.
Volume 7, Issue 3 / May 2025
Sparse‑view CT hemorrhage detection
Deep U‑Net artifact reduction maintains AUC > 0.97 at reduced views
Multi‑society statement on AI use
Guidelines on developing, purchasing and monitoring AI tools
Robust hemorrhage detection
Performance holds steady even with as few as 512 CT views
AI post‑market surveillance
Framework for safeguarding AI performance over time
Dive into the cutting-edge world of AI at RSNA
Radiology’s Trusted Source
RSNA is leading radiology forward—delivering trusted AI education, supporting peer-reviewed research, developing ground-truth datasets, and creating dynamic opportunities for collaboration.
Education
Packed with practical insights and designed for imaging professionals of all career levels, our on-demand and in-person educational opportunities cover a range of AI topics.
Research
RSNA’s machine learning medical journal, Radiology: Artificial Intelligence, focuses on the application of emerging technology in radiology and the impact AI has on diagnostics and patient care.
Data
RSNA fosters the development of ground-truth datasets to advance the field of AI in medical imaging.
Collaboration
RSNA’s annual meeting, AI challenges, volunteer opportunities, online AI forum and editorial board opportunities provide you with the ability to connect with like-minded professionals and contribute to the advancement of AI in radiology.
Your professional journey
Advancing your professional journey through education, research and technologic innovation.
RSNA AI thought leaders
"Building collaborative, intelligent connections between people and technology will energize the care team and redefine how radiologists deliver care."
Dr. Curtis P. Langlotz, RSNA President 2023–2024
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RSNA AI thought leaders
"The fusion of radiology and AI presents a unique opportunity to significantly boost accuracy and efficiency."
Dr. Nina Kottler, Associate Chief Medical Officer for Clinical AI at Radiology Partners
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RSNA AI thought leaders
"With AI having come to a level at par with human authors, the use of chatbots and natural language processing have the potential to revolutionize the field of medical writing."
Dr. Som Biswas, Radiologist at the University of Tennessee Health Science Center
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RSNA in the news
Your A.I. Radiologist Will Not
Be With You Soon
At the Mayo Clinic, artificial intelligence isn’t replacing radiologists — it’s becoming their assistant. Algorithms are being used to flag subtle anomalies in scans, helping doctors diagnose more accurately and efficiently.
Read full article