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Mashup Score: 1
In an external validation data set for a deep learning bone-suppressed (DLBS) model, researchers found that adjunctive use of the DLBS model led to a nearly 15 percent increase in sensitivity for detecting pulmonary nodules on chest X-rays in comparison to radiologist assessment.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet
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Mashup Score: 1Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays - 1 year(s) ago
In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Study: #AI More Than Doubles the Sensitivity Rate. for Lung-RADSbCategory 4 Nodules on Chest #XRay https://t.co/GO1Hf1TgsS @ACRRFS @ACRYPS @thoracicrad @ARRS_Radiology @RSNA @RadiologyACR @PennRadiology @EmoryRadiology @UMichRadiology @UNCRadiology @StanfordRad #radiology #RadRes https://t.co/Xnpwzx9MQL
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Mashup Score: 1Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays - 1 year(s) ago
In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Study: #AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest #XRay https://t.co/ZQTPEaVi0t @ACRRFS @RadiologyACR @ARRS_Radiology @RSNA @thoracicrad @PennRadiology @UNCRadiology @UMMCRads @UMichRadiology @BrighamRad @DukeRadiology #radiology #RadRes https://t.co/Atu5lQUk16
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Mashup Score: 0Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays - 1 year(s) ago
In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Study: #AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest #XRay https://t.co/Km6LgecIi6 @ACRRFS @ACRYPS @RadiologyACR @RSNA @thoracicrad @EmoryRadiology @YaleRadiology @UMichRadiology @DukeRadiology @PennRadiology #radiology #RadRes https://t.co/9qMYxxhg2b
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Mashup Score: 0Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays - 1 year(s) ago
In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Study: #AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest #XRay https://t.co/PC0LFlnY85 @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RadiologyUcla @RadiologyUSC @StanfordRad @UTSW_Radiology @OHSURadiology @MayoRadiologyAZ #radiology #RadRes https://t.co/V9sQH9ua2Z
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Mashup Score: 2Carestream Collaborates with Robarts Research Institute To Advance Translational Cardiothoracic and Pulmonary Disease Research - 1 year(s) ago
February 8, 2023 — Carestream Health is partnering with Robarts Research Institute to increase and demonstrate the clinical value of digital X-ray, digital tomosynthesis and dual energy technologies to help improve the outcomes of patients with cardiothoracic and pulmonary diseases. Carestream is providing a state-of-the-art imaging system and software to Robarts, the research institute…
Source: DAICCategories: Cardiologists, Latest HeadlinesTweet-
@DAICeditor @Carestream @ResearchRobarts Carestream partners with Robarts Research Institute to increase the clinical value of digital #Xray, digital tomosynthesis and dual energy technologies to help patients with #cardiothoracic and #pulmonary diseases: https://t.co/NzQhAs6jkq
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Mashup Score: 0Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays - 1 year(s) ago
In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Study: #AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest #XRay https://t.co/yWpu1cjU3x @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @thoracicrad @PennRadiology @YaleRadiology @UABRadiology @UMMCRads @NYUImaging #radiology #RadRes https://t.co/EcoHwKNUKG
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Mashup Score: 0Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays - 1 year(s) ago
In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Study: #AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest #XRay https://t.co/4uS48DPVDT @ACRRFS @ACRYPS @thoracicrad @RadiologyACR @RSNA @ARRS_Radiology @PennRadiology @DukeRadiology @UABRadiology @EmoryRadiology @PittRadiology #radiology #RadRes https://t.co/GevnaLIbOP
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Mashup Score: 0Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays - 1 year(s) ago
In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Study: #AI More Than Doubles Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest #XRay https://t.co/4yC9M8DwPp @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @PennRadiology @DukeRadiology @UABRadiology @EmoryRadiology @MontefioreRAD @NYUImaging #radiology #RadRes https://t.co/HmzmjV3wKP
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Mashup Score: 0
In an external validation data set for a deep learning bone-suppressed (DLBS) model, researchers found that adjunctive use of the DLBS model led to a nearly 15 percent increase in sensitivity for detecting pulmonary nodules on chest X-rays in comparison to radiologist assessment.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can #DeepLearning Enhance Pulmonary Nodule Detection on Chest #XRay? https://t.co/Fp3eMMm4GW @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @thoracicrad @Radiology_AI @RadiologyUcla @StanfordRad @UTSW_Radiology @OHSURadiology @MayoRadiologyAZ @RadiologyUSC #radiology #RadRes https://t.co/0hu2DB8RpG
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Can #DeepLearning Enhance Pulmonary Nodule Detection on Chest #XRay? https://t.co/03vtLx6ZNc @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @thoracicrad @PennRadiology @UNCRadiology @EmoryRadiology @UABRadiology @NYUImaging @MontefioreRAD @CooperRadRes #radiology #RadRes #AI https://t.co/xCkHKBkARR