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#radiology

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DATE: March 03, 2025 at 07:00AM
SOURCE: BioWorld MedTech

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.@Philips lands EU #MDR for #radiology remote scanning

t.co/AssctEpOJe

#medtech #diagnostic

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#medtech

Articles can be found by scrolling down the page at bioworld.com/topics/85-bioworl .

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t.coPhilips lands EU MDR for radiology remote scanningBy Shani Alexander

DATE: February 28, 2025 at 05:00PM
SOURCE: BioWorld MedTech

Direct article link at end of text block below.

.@Philips lands EU #MDR for #radiology remote scanning

t.co/AssctEqmyM

#medtech #diagnostic

Here are any URLs found in the article text:

t.co/AssctEqmyM

#medtech

Articles can be found by scrolling down the page at bioworld.com/topics/85-bioworl .

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Private, vetted email list for mental health professionals: clinicians-exchange.org
.
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
.
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: nationalpsychologist.com
.
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE:
subscribe-article-digests.clin
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READ ONLINE: read-the-rss-mega-archive.clin
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It's primitive... but it works... mostly...
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t.coPhilips lands EU MDR for radiology remote scanningBy Shani Alexander

"One year after infection, more than one third of even moderate patients with mild symptoms had persistent pulmonary abnormalities" [1]

A THIRD of moderate acute COVID-19 cases! A YEAR after acute infection! Now, remember that "moderate" in this context means requiring care but not oxygen/ICU.

[1] sciencedirect.com/science/arti

coverage: healthimaging.com/topics/clini

We have successfully tested a setup for live AI support in interventional radiology. Interested? Read more about it in our latest open-access publication.

degruyter.com/document/doi/10.

De Gruyter · A setup for live AI support in interventional radiologyArtificial intelligence (AI) has the potential to support time-critical stroke treatment. In a previous study we demonstrated the feasibility of deep learning based automatic classification for thrombus detection during thrombectomies, a catheter-guided procedure to remove occlusions of cerebral vessels. However, this method has yet to be tested during a live intervention. In this work, we present a setup to integrate AI based support in an angiography suite. A classification PC was connected to the angiography by means of a real-time video connection as well as a research interface for control signals. We found that video conversion in real-time does not affect the classification result in comparison to offline classification of DICOM data. Analyzing 50 video streams of previous cases, the system could classify digital-subtraction angiography (DSA) sequences within 13.3 seconds on average. This processing time can further be reduced to an average of 7.9 seconds with GPU acceleration. Additionally, the system successfully classified two DSA sequences acquired during live thrombectomy, identifying the presence of thrombi in less than 5 seconds. So far, the classification result has only been displayed in the control room of the angiography suite to demonstrate feasibility. In the outlook, however, we also discuss how the result can be displayed directly on the angiography screen.