Machine Learning (ML) and other artificial intelligence (AI) tools have become a staple in the non-medical and medical news as these techniques are applied to increasingly complex challenges.
From IBM's Watson to CAD, most radiologists have heard of machine learning. But do you know how this technique is already used in the field? Plus, what does the future hold? The ACR Bulletin brings you FAQs so you can be sure to have the basics down pat.
New innovations are poised to revolutionize radiology. What will these changes mean for your patients?
Is machine learning as bad for radiology as they say?
Specialists who embrace these new developments have a bigger toolbox than ever.
Decision support for radiologists rises to the point of care.
Much of the discussion at this year’s annual meeting revolved around upcoming technologies and emerging shifts in the patient experience.
Evaluating the impending impacts of the machine-learning economy
Dr. Siegal responds to a first year radiology resident concerned for the future of radiologists as the functions of artificial intelligence grow.
ACR Select™ helps providers determine the most appropriate imaging exams at the point of care.
The ACR Dose Index Registry helps hospitals retain scan quality while successfully lowering radiation dose.
Advocate Lutheran General Hospital deploys cutting-edge technologies to manage contrast and radiation dose to enhance patient safety.
The ACR Dose Index Registry is helping radiologists compare CT dose indices to national standards and safeguard patients.
Registry participation is essential for quality improvement and, now under MACRA, reimbursement.
An academic tertiary care center implements structured reporting, achieving 94 percent compliance among radiologists.
One North Carolina practice establishes a business case for structured reports.
In today's value-driven health care environment, standardized language in structured reports allows for improved patient care.
For the greatest impact on patient care, radiologists must write clear and concise reports.
How will emerging technology affect radiology in the near future?
Radiologists in Virginia are trialing a beta version of an application that uses artificial intelligence to detect findings on CT exams.