Radiology: Artificial Intelligence -RSNA

Name: Radiology: Artificial Intelligence -RSNA
SKU: 196500
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Format : Original PDF

Category: Journals/Articles

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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: