RSNA’s New Journal, Radiology: Artificial Intelligence, Now Accepting Submissions

Submissions are being accepted for RSNA's new journal, Radiology: Artificial Intelligence. The journal will highlight the emerging applications of machine learning and artificial intelligence (AI) in the field of imaging across multiple disciplines.

The journal's editor, Charles E. Kahn, Jr., MD, MS, invites high-quality manuscripts that:

• Show the impact of AI to diagnose and manage patients, extract information, streamline radiology workflow or improve health care outcomes
• Demonstrate novel applications of AI in radiology
• Highlight innovative AI methodologies

The journal also seeks thoughtful, meaningful reviews and opinion pieces focusing on:

• Education about AI
• AI’s role in educating radiologists, referring providers and patients
• The ethical, legal, and social issues surrounding AI

Manuscript transfer will be allowed from other RSNA journals. More information about the benefits of manuscript transfer can be found on the FAQs page for journal publication.

Radiology: Artificial Intelligence will be published bi-monthly and available exclusively online. RSNA members will receive a complimentary subscription. Institutions can receive free access through Dec. 31, 2019, by registering at RSNA.org/freetrial.

Web Extras

• For author submission information for Radiology: Artificial Intelligence, go to https://pubs.rsna.org/artificial-intelligence
• For more information on the benefits of manuscript transfer, go to the FAQs page for journal publication at https://pubs.rsna.org/page/ai/author-instructions/faq
• Register to receive free access to Radiology: Artificial Intelligence, through Dec. 31 2019, at https://www2.rsna.org/timssnet/LibrarianGuide/JournalSampleRequestForm.cfm