The future of AI in radiology lies in its potential capability to forge connections and enhance efficiencies for enterprise-wide workflows.
|Articles|April 12, 2011
Poll of the Week: Are You Ready for Meaningful Use Attestation Period?
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Starting April 18, physicians and hospitals that have taken steps to become
Physicians must meet these meaningful-use criteria for 90 consecutive days to cash in on the incentives.
More than 90 percent of radiologists are considered eligible professionals for the
Is your practice planning to attest to being meaningful users of an EHR?
Vote here, and tell us about your experiences meeting the criteria.
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In a new podcast episode, Joseph Cavallo, MD, MBA, offered his perspective on AI integration, potential efficiency gains, navigating post-deployment monitoring and how to incorporate AI literacy into radiology resident training.
How will generative AI software be evaluated by the FDA in the future? What’s next for point-of-care ultrasound? What steps have been successful in facilitating adoption of AI applications across enterprise systems? Leaders in radiology and health care will be discussing these topics and more at the upcoming HLTH USA conference.
In the third of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss recent developments with autonomous AI in breast imaging and share their perspective on the overall potential of AI to help mitigate the radiologist shortage.
In the second of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss how to handle disagreements with adjunctive AI in breast imaging, whether to include AI assessments in PACS, and whether patients should pay for the use of adjunctive AI.
Has the barrage of passwords, PINs and authenticator apps gone around the bend to a point where it hampers efficiency and productivity?
Catch up on the top radiology content of the past week.
In a recent interview with Diagnostic Imaging, Joseph Cavallo, MD, MBA, offered insights on post-deployment monitoring with AI, the potential for improved workflow efficiency and the ongoing challenge of balancing essential clinical skills and AI literacy in the training of radiology residents and fellows.
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