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Artificial intelligence: Algorithms improve medical image analysis

ScienceDaily

Artificial intelligence has the potential to improve the analysis of medical image data. This is the result of AutoPET, an international competition in medical image analysis. The seven best autoPET teams report on how algorithms can detect tumor lesions in positron emission tomography (PET) and computed tomography (CT).

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Current Concepts with Advances in Photon-Counting Computed Tomography

Diagnostic Imaging

Photon-counting computed tomography (PCCT) offers a number of salient advantages over conventional CT, including improved image resolution and contrast-to-noise ratio, enhanced denoising capability and inherent spectral sensitivity.

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Use of AI-driven CT workflows in outpatient imaging to better serve patients

Radiology Business

Nasir Siddiqui, MD, chair of radiology at Duly Health and Care, explains how the suburban Chicago company uses computed tomography to more effectively treat its customers.

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RSNA and collaborators release statement on AI for cardiac CT, MRI

AuntMinnie

For various types of AI tools in cardiac imaging, the paper considers clinical relevance and analyzes current challenges at each stage in the cardiac imaging workflow. A wide variety of AI applications are at different maturity levels, ranging from early research development to full clinical implementation, according to the authors.

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Computed Tomography Study Finds Nearly 44 Percent of Interstitial Lung Abnormalities Are Not Reported

Diagnostic Imaging

percent of computed tomography (CT) scans, researchers found that 43.9 While a large retrospective study found that interstitial lung abnormalities (ILAs) were evident on 1.7 percent of ILAs, including fibrotic ILAs, were not reported.

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Five High-impact Advancements in Computed Tomography

Imaging Technology

In the ever-evolving landscape of medical imaging, computed tomography (CT) stands out as a cornerstone technology. Since its inception, CT has revolutionized diagnostic capabilities, offering detailed cross-sectional images of the human body.

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Nearly half of patients surveyed believe MRI exposes individuals to ionizing radiation

Radiology Business

Another 36% think that both magnetic resonance imaging and computed tomography use the same technology to create diagnostic images.