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Week in Review: 6 risks associated with AI in healthcare | RSNA 2019 | VR-based CPR training | AI-powered triage

News You Need to Know Today
Week in Review: 6 risks associated with AI in healthcare | RSNA 2019 | VR-based CPR training | AI-powered triage
Saturday, November 23, 2019
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This Week’s News

Top Stories

6 serious risks associated with AI in healthcare

The rapid rise of AI could potentially change healthcare forever, leading to faster diagnoses and allowing providers to spend more time communicating directly with patients. According to a new report from the Brookings Institution, however, there are also risks associated with AI in healthcare that must be addressed.

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6 serious risks associated with AI in healthcare

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The rapid rise of AI could potentially change healthcare forever, leading to faster diagnoses and allowing providers to spend more time communicating directly with patients. According to a new report from the Brookings Institution, however, there are also risks associated with AI in healthcare that must be addressed.
READ MORE >

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Q&A: George Shih previews RSNA 2019, discusses AI’s impact on radiology

RSNA 2019 in Chicago is just days away, and the continued evolution of AI in radiology promises to be one of the hottest topics of the entire conference.

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Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.
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Q&A: George Shih previews RSNA 2019, discusses AI’s impact on radiology

Share on Twitter Share on Facebook Share on Linkedin
Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.
RSNA 2019 in Chicago is just days away, and the continued evolution of AI in radiology promises to be one of the hottest topics of the entire conference.
READ MORE >

Is VR-based CPR training effective?

Virtual reality (VR) is being used more and more in healthcare. VR-based CPR training, however, remains inferior to face-to-face training, according to new research published in JAMA Cardiology.

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Is VR-based CPR training effective?

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Virtual Reality
Virtual reality (VR) is being used more and more in healthcare. VR-based CPR training, however, remains inferior to face-to-face training, according to new research published in JAMA Cardiology.
READ MORE >

How AI-powered triage impacts radiology, radiologists

AI can provide significant value to radiologists by sending urgent imaging studies to the top of their worklists, according to a new analysis published in Academic Radiology.

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How AI-powered triage impacts radiology, radiologists

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Blog_Header_1200x628_Fellowship (12)_0.png
AI can provide significant value to radiologists by sending urgent imaging studies to the top of their worklists, according to a new analysis published in Academic Radiology.
READ MORE >

Featured Articles

Better together: Radiology researchers see improved results when combining AI models

Ensemble learning—the combination of multiple AI models into a single model with a single purpose—can lead to better overall results, according to new research published in Radiology: Artificial Intelligence.

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As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?
Share on Twitter Share on Facebook Share on Linkedin

Better together: Radiology researchers see improved results when combining AI models

Share on Twitter Share on Facebook Share on Linkedin
As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?
Ensemble learning—the combination of multiple AI models into a single model with a single purpose—can lead to better overall results, according to new research published in Radiology: Artificial Intelligence.
READ MORE >

Lunit’s AI solution for x-ray analysis gains CE certification

Lunit, a medical software company based out of South Korea, has gained CE certification for its newest chest x-ray analysis solution, Lunit INSIGHT CXR.

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Lunit’s AI solution for x-ray analysis gains CE certification

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Lunit, a medical software company based out of South Korea, has gained CE certification for its newest chest x-ray analysis solution, Lunit INSIGHT CXR.
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Imaging data help AI models predict lymph node metastasis

Deep learning models can be trained to predict lymph node metastasis in breast cancer patients, according to new findings published in Radiology.

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Imaging data help AI models predict lymph node metastasis

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Deep learning models can be trained to predict lymph node metastasis in breast cancer patients, according to new findings published in Radiology.
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AI could play pivotal role in impending psychiatrist shortage

The United States is expected to experience a massive shortage of psychiatrists within the next five years. According to some researchers, however, AI technology could ease some of that burden.

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AI could play pivotal role in impending psychiatrist shortage

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The United States is expected to experience a massive shortage of psychiatrists within the next five years. According to some researchers, however, AI technology could ease some of that burden.
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How radiology trainees can keep up with AI

The rise of AI is one of radiology’s biggest trends of the last decade, a move that has energized some radiologists while worrying others.

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How radiology trainees can keep up with AI

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The rise of AI is one of radiology’s biggest trends of the last decade, a move that has energized some radiologists while worrying others.
READ MORE >

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