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ASTRO vice chair highlights momentum for ROCR Act

AuntMinnie

Were enthusiastic about it, said Chris Corso, MD, PhD, government relations committee vice chair at the American Society for Radiation Oncology (ASTRO). Along with the government relations committee, this includes membership roles on the ASTRO PAC Board, the Mega Issue Working Group, and the ASTRO Rural Task Force.

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How can Enterprise Imaging empower radiology in the modern health network?

AuntMinnie

With strong demand for medical imaging in many differing clinical contexts, hospitals are managing growing routine imaging demands while balancing teaching practices, ambulatory services, primary care, and subspecialty services. billion healthcare facility. Another, a new hospital complex is underway at University of Utah Health.

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Experts call for CPT codes for imaging AI reimbursement

AuntMinnie

Imaging AI tools and algorithms continue to be rapidly developed and deployed into clinics, but experts say theres an elephant in the room that still needs to be addressed: reimbursement. A lot of people may not know whether or not their breast imaging clinic has an option for an AI-assisted read for their normal mammograms.

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Why You Don’t Need an AI Governance Committee

Aidoc

I am not, of course, advocating for a lack of governance. It is necessary for safe and responsible clinical AI implementation. Ask four leaders how AI is governed at their health system, and youll likely receive four different answers. What Is the Best Approach To AI Governance Today?

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Beyond the Pitch: Lessons from HIMSS on AI, Governance and Leadership

Aidoc

Rather than only emphasizing technology , the focus shifted to transparency , governance and regulatory alignment. Vendors that take a consultative approach, helping organizations navigate governance, change management and education alongside technology implementation, are seen as far more valuable partners. Another major takeaway?

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New AI model successfully segments anatomic structures in MR images

AuntMinnie

Since images were randomly sampled from clinical routine, the dataset contains a wide variety of different contrasts, pathologies, and image types. However, realizing this vision depends on resolving challenges such as data governance, patient privacy, and robust data labeling." Example MRI scans in the training dataset.

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Measuring True Readiness for Clinical AI in Health Systems

Aidoc

In working with more than 1,200 health systems on clinical AI integration, here are a few consistent themes from AI-ready health systems: Fostering Continuous Learning : Ongoing training and professional development related to AI technologies for relevant staff is highly encouraged. In short: a clear AI governance structure is essential.

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