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Mashup Score: 0
Powered by deep learning technology, Sonic DL reportedly facilitates the acquisition of cardiac magnetic resonance imaging (MRI) scans at 12 times the speed of conventional MRI systems.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet
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Mashup Score: 0What a Large CT Study Reveals About Potential Kidney Injury, Diabetes and Risk Stratification - 1 year(s) ago
The use of contrast-enhanced computed tomography (CECT) was associated with more than double the risk of contrast-induced acute kidney injury (CI-AKI) in patients with diabetes and an estimated glomerular filtration rate (eGFR) less than 30 mL/min/1.73 m2 in comparison to the use of non-contrast CT in this population.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
What a Large CT Study Reveals About Potential Kidney Injury, #Diabetes and Risk Stratification https://t.co/Lnyd2Im0os @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @RadiologyUcla @RadiologyUSC @UTSW_Radiology @OHSURadiology @MayoRadiologyAZ @UCSFimaging #radiology #RadRes https://t.co/ywxMlxuzOq
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Mashup Score: 0Can an AI Combination of Ultrasound and Molecular Data Predict Chemotherapy Response in Breast Cancer Patients? - 1 year(s) ago
Researchers found that a deep convolutional neural network, incorporating B-mode ultrasound and shear wave elastography data, had nearly an 88 percent sensitivity rate for predicting neoadjuvant chemotherapy response in patients with breast cancer.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can #AI Combination of #Ultrasound and Molecular Data Predict #Chemotherapy Response in Breast Cancer Patients? https://t.co/Y5tTC0niTE @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @UCSFimaging @OHSURadiology @UTSW_Radiology @MayoRadiologyAZ @RadiologyUSC #radiology #RadRes https://t.co/DpVVtxSi2t
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Mashup Score: 0
Five artificial intelligence (AI) algorithms for mammography assessment were better at predicting breast cancer risk over five years than the Breast Cancer Surveillance Consortium (BCSC) risk model, according to new retrospective research involving over 13,000 women.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Study Assesses Ability of #Mammography #AI Algorithms to Predict #BreastCancer Risk https://t.co/QKZxdrIgoa @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @BreastImaging @SBIRFS @DukeRadiology @PennRadiology @EmoryRadiology @UMichRadiology @TulaneRadiology #radiology #RadRes https://t.co/tsNAn3U6J8
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Mashup Score: 1Could Gamification Enhance Brain MRI Acquisition? - 1 year(s) ago
FIRMM-pix, a brain magnetic resonance imaging (MRI) software module recently launched at the International Society for Magnetic Resonance in Medicine (ISMRM) conference, reportedly employs visual biofeedback and gamification that coaches patients to stay still during brain MRI exams.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Could #Gamification Enhance Brain #MRI Acquisition? https://t.co/Bz1iBhc8L6 @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @ISMRM @PennRadiology @CHOPRadiology @CincyKidsRad @TheASNR @DukeRadiology @EmoryRadiology @ChildrensATLRad @nuromri #radiology #RadRes #ISMRM23 https://t.co/LS2s78c9CX
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Mashup Score: 1Stress Cardiovascular MRI: What a New Meta-Analysis Reveals - 1 year(s) ago
For the detection of obstructive coronary artery disease (CAD), stress cardiovascular magnetic resonance imaging (MRI) demonstrated a sensitivity rate of 81 percent and a specificity rate of 86 percent, according to a meta-analysis of 64 studies and data from 74,470 patients with stable chest pain.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Stress Cardiovascular #MRI: What a New Meta-Analysis Reveals https://t.co/m9E6ATLUER @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @ISMRM @SIRspecialists @PennRadiology @EmoryRadiology @UABRadiology @MontefioreRAD @NYUImaging @BrighamRad @UVARadiology #radiology #RadRes https://t.co/6inXanjhNZ
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Mashup Score: 0Can an AI Combination of Ultrasound and Molecular Data Predict Chemotherapy Response in Breast Cancer Patients? - 1 year(s) ago
Researchers found that a deep convolutional neural network, incorporating B-mode ultrasound and shear wave elastography data, had nearly an 88 percent sensitivity rate for predicting neoadjuvant chemotherapy response in patients with breast cancer.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Can #AI Combination of #Ultrasound and Molecular Data Predict #Chemotherapy Response in Breast Cancer Patients? https://t.co/N6I5wRB3ni @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @BreastImaging @PennRadiology @DukeRadiology @UMMCRads @EmoryRadiology #radiology #RadRes https://t.co/VRaw5hlL6n
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Mashup Score: 0Image IQ Quiz: What Does the Imaging Reveal for a Middle-Aged Male with Chest Pain and Shortness of Breath? - 1 year(s) ago
Review the case study and test your knowledge to make the correct diagnosis.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Image IQ Quiz: Middle-Aged Male with #ChestPain and Shortness of Breath https://t.co/pKbkJqmLnQ @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @PennRadiology @EmoryRadiology @YaleRadiology @futureradres @CooperRadRes @VCURadRes @WCMRadRes @NYURadRes @vRad #radiology #RadRes https://t.co/pY5rl7mcGA
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Mashup Score: 0Study Shows Significant Incidental Findings in Nearly 34 Percent of Lung Screening CT Exams - 1 year(s) ago
In a large retrospective study of 26,455 participants from the National Lung Screening Trial, low dose computed tomography (LDCT) exams revealed significant incidental findings (SIFs), ranging from emphysema to suspicious lesions, in 8,954 participants.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Study Shows Significant Incidental Findings in Nearly 34 Percent of Lung Screening CT Exams https://t.co/UOK2Kr7eo3 @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @thoracicrad @PennRadiology @UNCRadiology @BrighamRad @NYUImaging @BURadiology @UVARadiology #rsadiology #RadRes https://t.co/rB4l4EDNlp
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Mashup Score: 0Emerging Nomogram May Predict Outcomes After PSMA PET-Guided Salvage Radiotherapy in Patients with Prostate Cancer - 1 year(s) ago
In a multinational, multicenter study of over 1,000 patients with recurrent prostate cancer, researchers developed and validated a nomogram that achieved a 72 percent concordance index for the prediction of biochemical recurrence after PSMA PET-guided salvage radiotherapy.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Emerging Nomogram May Predict Outcomes After #PSMA PET-Guided Salvage #Radiotherapy for #ProstateCancer https://t.co/BIzMb8d0u2 @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @SocietyAbdRad @SAR_AARC @RadiologyUcla @UTSW_Radiology @UCSFimaging @OHSURadiology #radiology #RadRes https://t.co/0bJvnPJtWS
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FDA Clears Cardiac #AI Software That May Reduce #MRI Scan Times by 83 Percent https://t.co/oaBtVrGpef @ACRRFS @ACRYPS @futureradres @RadiologyACR @ARRS_Radiology @RSNA @StanfordRad @RadiologyUSC @UCSFimaging @MayoRadiologyAZ @UofURadiology @GEHealthCare #radiology #RadRes https://t.co/5kvibCOVTy