• Mashup Score: 1

    Smart-CKD, an ultrasound-derived, computer-aided diagnosis (CAD) tool, demonstrated an area under the curve of 81 percent and an 83 percent sensitivity rate in a validation cohort for differentiating between mild and moderate to severe fibrosis in patients with chronic kidney disease.

    Tweet Tweets with this article
    • Study: #Ultrasound Based Tool May Help Differentiate Renal Fibrosis in Patients with #ChronicKidneyDisease https://t.co/wvqDznUqlx @ACRRFS @ACRYPS @RadiologyACR @RSNA @AIUMultrasound @POCUS_Society @RadiologyUcla @UCSFimaging @UTSW_Radiology @OHSURadiology #radiology #RadRes https://t.co/jyzH4WLpbd

  • Mashup Score: 0

    Smart-CKD, an ultrasound-derived, computer-aided diagnosis (CAD) tool, demonstrated an area under the curve of 81 percent and an 83 percent sensitivity rate in a validation cohort for differentiating between mild and moderate to severe fibrosis in patients with chronic kidney disease.

    Tweet Tweets with this article
    • Study: #Ultrasound Based Tool May Help Differentiate Renal Fibrosis in Patients with #ChronicKidneyDisease https://t.co/Z5exH3YOL5 @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @AIUMultrasound @JeffersonRads @WCMRadiology @YaleRadiology @EmoryRadiology #radiology #RadRes https://t.co/k8RhezphJS

  • Mashup Score: 0

    Smart-CKD, an ultrasound-derived, computer-aided diagnosis (CAD) tool, demonstrated an area under the curve of 81 percent and an 83 percent sensitivity rate in a validation cohort for differentiating between mild and moderate to severe fibrosis in patients with chronic kidney disease.

    Tweet Tweets with this article
    • Study: #Ultrasound Based Tool May Help Differentiate Renal Fibrosis in Patients with #ChronicKidneyDisease https://t.co/A6LbUuYyah @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @AIUMultrasound @PennRadiology @NYUImaging @EmoryRadiology @DukeRadiology #radiology #RadRes https://t.co/7osrVNEZD8

  • Mashup Score: 0

    Smart-CKD, an ultrasound-derived, computer-aided diagnosis (CAD) tool, demonstrated an area under the curve of 81 percent and an 83 percent sensitivity rate in a validation cohort for differentiating between mild and moderate to severe fibrosis in patients with chronic kidney disease.

    Tweet Tweets with this article
    • Study: #Ultrasound Based Tool May Help Differentiate Renal Fibrosis in Patients with #ChronicKidneyDisease https://t.co/QBtsYzqkT5 @ACRRFS @ACRYPS @AIUMultrasound @RadiologyACR @ARRS_Radiology @RSNA @PennRadiology @EmoryRadiology @DukeRadiology @UABRadiology #radiology #RadRes https://t.co/l4zrxpjedq