OAK BROOK, Ill. (Jan. 30, 2019) — The Radiological Society of North America (RSNA) today published the first issue of its new online journal Radiology: Artificial Intelligence.
Held to the same high editorial standards as Radiology, this new journal highlights the emerging applications of machine learning and artificial intelligence in the field of imaging across multiple disciplines.
"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."
Included in the first issue are:
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.
The journal 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.
"Our goal is to deliver the same high quality of original scientific research as our parent journal, Radiology, but focused on AI," Dr. Kahn said. "In addition to original research, we welcome articles that explore the ethical, social, legal and economic implications of AI in radiology."
Radiology: Artificial Intelligence is published bi-monthly and available exclusively online.
RSNA is an association of over 53,400 radiologists, radiation oncologists, medical physicists and related scientists, promoting excellence in patient care and health care delivery through education, research and technologic innovation. The Society is based in Oak Brook, Ill. (RSNA.org)