RSNA Debuts New Journal Focused on AI in Radiology
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By MedImaging International staff writers Posted on 20 Feb 2019 |
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The Radiological Society of North America {(RSNA) Oak Brook, IL, USA} has published the first issue of its new online journal, Radiology: Artificial Intelligence. The new journal highlights the emerging applications of machine learning and artificial intelligence (AI) in the field of imaging across multiple disciplines.
The new journal invites high-quality manuscripts illustrating the use of AI to diagnose and manage patients, extract information, streamline radiology workflow, or improve healthcare outcomes. It also seeks thoughtful, meaningful reviews and opinion pieces focused on AI education and AI's role to educate radiologists, referring providers and patients, as well as other important issues in the specialty.
"We are extremely pleased with the quality of articles in the journal's first issue," said editor Charles E. Kahn Jr., M.D, M.S., professor and vice chairman of radiology at Perelman School of Medicine and senior fellow of the Institute for Biomedical Informatics and the Leonard Davis Institute of Health Economics at University of Pennsylvania. "These articles highlight the ways that AI can be applied to measurably improve healthcare. Our goal is to deliver the same high quality of original scientific research as our parent journal, Radiology, but focused on AI. In addition to original research, we welcome articles that explore the ethical, social, legal and economic implications of AI in radiology.”
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Radiological Society of North America
The new journal invites high-quality manuscripts illustrating the use of AI to diagnose and manage patients, extract information, streamline radiology workflow, or improve healthcare outcomes. It also seeks thoughtful, meaningful reviews and opinion pieces focused on AI education and AI's role to educate radiologists, referring providers and patients, as well as other important issues in the specialty.
"We are extremely pleased with the quality of articles in the journal's first issue," said editor Charles E. Kahn Jr., M.D, M.S., professor and vice chairman of radiology at Perelman School of Medicine and senior fellow of the Institute for Biomedical Informatics and the Leonard Davis Institute of Health Economics at University of Pennsylvania. "These articles highlight the ways that AI can be applied to measurably improve healthcare. Our goal is to deliver the same high quality of original scientific research as our parent journal, Radiology, but focused on AI. In addition to original research, we welcome articles that explore the ethical, social, legal and economic implications of AI in radiology.”
Related Links:
Radiological Society of North America
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