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Nuance and Epic Expand Ambient Documentation Integration Across the Clinical Experience with DAX Express for Epic

Imaging Technology

DAX Express is a workflow-integrated, AI-powered clinical documentation application that is the first to combine Nuanceā€™s proven conversational and ambient AI with the newest and most capable AI model, GPT4, in the Azure OpenAI Service.

Clinic 98
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Groups aim to standardize nuclear medicine imaging of CV infections

AuntMinnie

The recommendations could improve patient care, as current clinical tools are often insufficient in complicated cases, noted lead author of the guidance Jamieson Bourque, MD, of the University of Virginia Health System in Charlottesville. The full recommendations can be found here.

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More radiology research funding tied to limited patient outreach

AuntMinnie

ā€œIncentives to promote collaboration between well-funded large academic institutions and institutions with a focus on providing equitable care to underserved groups may be required to improve research inclusion,ā€ the Lopez team wrote. The authors also highlighted that options exist for addressing these barriers to patient care.

Radiology 276
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Report: Automation and generative AI will help address 3 critical care gaps

AuntMinnie

On current and planned implementation of AI for clinical decision support in radiology specifically, the survey showed 29% checking not implemented or don't know, with 36% reporting AI already implemented, and 35% planning to implement AI in the next three years. This is especially the case in China (42%), India (41%), and the U.S. (40%),

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Fuse Oncology Unveils FuseDocs: Newest RadOnc Solution for Streamlining Clinical Documentation for Radiation Oncologists

Imaging Technology

This groundbreaking software leverages generative artificial intelligence (AI) to transform radiation oncology documentation, allowing oncologists to refocus their energies on patient care. Weā€™re excited to introduce FuseDocs to the radiation oncology community at ASTRO,ā€ said Fuse CEO James Bauler.

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5 factors to consider when validating radiology AI

AuntMinnie

Because thorough validation of AI models is crucial for effective patient care, and as the U.S. Radiology must consider at least five factors when it comes to validating AI algorithms for use in the department, according to a review published May 21 in the Journal of the American College of Radiology. Create a scoring protocol. "To

Radiology 206
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How to handle software service agreements in radiology

AuntMinnie

Those that involve patient care and patient safety are always at the top of the list. The rest of the problems may still need to be addressed but are usually problems that impact only that site or that several other end-users may have but not all and/or those that may not have been documented yet by others.

PACS 278