Radiology: Artificial Intelligence -RSNA

Radiology: Artificial Intelligence -RSNA

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Radiology: Artificial Intelligence is the leading scientific journal on advances of artificial intelligence in radiology. The journal highlights emerging methodology and applications of machine learning, data science, natural language processing (NLP), and radiomics.

Radiology: Artificial Intelligence is published, managed, and owned by the Radiological Society of North America (RSNA) and is published bi-monthly and available online. RSNA adheres to ICMJE’s policies on editorial freedom and does not interfere in the evaluation, selection, scheduling, or editing of individual articles either directly or by creating an environment that strongly influences decisions.

RSNA members receive a complimentary subscription to the journal as a member benefit.

Institutions can purchase a subscription from our online store.

Radiology: Artificial Intelligence At-a-Glance (PDF) »

 

Mission

Radiology: Artificial Intelligence highlights the emerging applications of machine learning and artificial intelligence in the field of imaging across multiple disciplines.

Aims

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 healthcare outcomes
  • Demonstrate novel applications of AI in radiology
  • Highlight innovative AI methodologies

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

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

 

Volume

January 2025 Vol. 7 Issue 1, November 2024 Vol. 6 Issue 6, September 2024 Vol. 6 Issue 5, July 2024 Vol. 6 Issue 4, May 2024 Vol. 6 Issue 3, March 2024 Vol. 6 Issue 2, January 2024 Vol. 6 Issue 1

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