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Mashup Score: 1Radiology: Artificial Intelligence - 2 month(s) ago
Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? An end-to-end deep learning pipeline provides standardized segmentation for patients with single ventricle physiology (Yao and St. Clair et al). A CNN trained on data from three brain cancer datasets accurately classifies MR image sequences (Mahmutoglu et al). See the latest information about Radiology: Artificial Intelligen
Source: pubs.rsna.orgCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 77Coronary Artery Calcium Score Predicts Major Adverse Cardiovascular Events in Stable Chest Pain - 2 month(s) ago
Background Coronary artery calcium (CAC) has prognostic value for major adverse cardiovascular events (MACE) in asymptomatic individuals, whereas its role in symptomatic patients is less clear. Purpose To assess the prognostic value of CAC scoring for MACE in participants with stable chest pain initially referred for invasive coronary angiography (ICA). Materials and Methods This prespecified subgroup analysis from the Diagnostic Imaging Strategies for Patients With Stable Chest Pain and Intermediate Risk of Coronary Artery Disease (DISCHARGE) trial, conducted between October 2015 and April 2019 across 26 centers in 16 countries, focused on adult patients with stable chest pain referred for ICA. Participants were randomly assigned to undergo either ICA or coronary CT. CAC scores from noncontrast CT scans were categorized into low, intermediate, and high groups based on scores of 0, 1–399, and 400 or higher, respectively. The end point of the study was the occurrence of MACE (myocardial
Source: pubs.rsna.orgCategories: General Medicine News, Cardiologists1Tweet
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Mashup Score: 77Coronary Artery Calcium Score Predicts Major Adverse Cardiovascular Events in Stable Chest Pain - 2 month(s) ago
Background Coronary artery calcium (CAC) has prognostic value for major adverse cardiovascular events (MACE) in asymptomatic individuals, whereas its role in symptomatic patients is less clear. Purpose To assess the prognostic value of CAC scoring for MACE in participants with stable chest pain initially referred for invasive coronary angiography (ICA). Materials and Methods This prespecified subgroup analysis from the Diagnostic Imaging Strategies for Patients With Stable Chest Pain and Intermediate Risk of Coronary Artery Disease (DISCHARGE) trial, conducted between October 2015 and April 2019 across 26 centers in 16 countries, focused on adult patients with stable chest pain referred for ICA. Participants were randomly assigned to undergo either ICA or coronary CT. CAC scores from noncontrast CT scans were categorized into low, intermediate, and high groups based on scores of 0, 1–399, and 400 or higher, respectively. The end point of the study was the occurrence of MACE (myocardial
Source: pubs.rsna.orgCategories: General Medicine News, Cardiologists1Tweet
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Mashup Score: 1Radiology: Artificial Intelligence - 2 month(s) ago
Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? An end-to-end deep learning pipeline provides standardized segmentation for patients with single ventricle physiology (Yao and St. Clair et al). A CNN trained on data from three brain cancer datasets accurately classifies MR image sequences (Mahmutoglu et al). See the latest information about Radiology: Artificial Intelligen
Source: pubs.rsna.orgCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 5Celebrating the Journal’s First 5 Years - 2 month(s) ago
Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? 1. Kahn CE Jr.. Radiol Artif Intell 2023;5(6):e230418. Link, Google Scholar 2. Brady AP, Allen B, Chong J, et al.. Radiol Artif Intell 2024;6(1):e230513. Link, Google Scholar 3. Hwang EJ, Jeong WG, David PM, Arentz M, Ruhwald M, Yoon SH.. Radiol Artif Intell 2024:6(2):e230327. Link, Google
Source: pubs.rsna.orgCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 1Radiology: Artificial Intelligence - 2 month(s) ago
Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? An end-to-end deep learning pipeline provides standardized segmentation for patients with single ventricle physiology (Yao and St. Clair et al). A CNN trained on data from three brain cancer datasets accurately classifies MR image sequences (Mahmutoglu et al). See the latest information about Radiology: Artificial Intelligen
Source: pubs.rsna.orgCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 7Error - 2 month(s) ago
Claim number has been activated already. Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username?
Source: pubs.rsna.orgCategories: General Medicine News, General HCPsTweet
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Mashup Score: 3Imaging Spectrum of Valvular and Paravalvular Complications of Prosthetic Heart Valve at CT Angiography - 2 month(s) ago
Prosthetic heart valve (PHV) dysfunction is an uncommon but potentially life-threatening condition. In routine practice, transthoracic echocardiography and cinefluoroscopy comprise first-line imaging for the diagnostic evaluation of PHV dysfunction. In cases in which the findings of echocardiography and cinefluoroscopy remain inconclusive or are contradictory, CT angiography can resolve these conflicts. CT angiography also provides incremental diagnostic information about patients with suspected PHV obstruction and endocarditis, in which case it can demonstrate the anatomic substrate and extent of involvement. Additionally, information regarding the coronary arteries, cardiac dimensions, and retrosternal space may be obtained in cases in which repeat surgery is planned. This imaging essay describes the imaging spectrum of valvular and paravalvular complications of PHV at CT angiography and how the knowledge regarding the spectrum of complications can be incorporated into multimodality
Source: pubs.rsna.orgCategories: General Medicine News, CardiologistsTweet-
@Heart_SCCT #YESCCT excellent technique for demonstrating the structural failure of prosthetic valve https://t.co/uAKlOOWAXv Leaflet Calcification ->>> mainly observed at commissures and the basal region of the cusp. ->>> Calcium is identified using non-contrast scans or a threshold of… https://t.co/0AKUmw4ZxQ https://t.co/Vhxov4h4sb
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Mashup Score: 5Celebrating the Journal’s First 5 Years - 3 month(s) ago
Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? 1. Kahn CE Jr.. Radiol Artif Intell 2023;5(6):e230418. Link, Google Scholar 2. Brady AP, Allen B, Chong J, et al.. Radiol Artif Intell 2024;6(1):e230513. Link, Google Scholar 3. Hwang EJ, Jeong WG, David PM, Arentz M, Ruhwald M, Yoon SH.. Radiol Artif Intell 2024:6(2):e230327. Link, Google
Source: pubs.rsna.orgCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 1AI for Detection of Tuberculosis: Implications for Global Health - 3 month(s) ago
Tuberculosis, which primarily affects developing countries, remains a significant global health concern. Since the 2010s, the role of chest radiography has expanded in tuberculosis triage and screening beyond its traditional complementary role in the diagnosis of tuberculosis. Computer-aided diagnosis (CAD) systems for tuberculosis detection on chest radiographs have recently made substantial progress in diagnostic performance, thanks to deep learning technologies. The current performance of CAD systems for tuberculosis has approximated that of human experts, presenting a potential solution to the shortage of human readers to interpret chest radiographs in low- or middle-income, high-tuberculosis-burden countries. This article provides a critical appraisal of developmental process reporting in extant CAD software for tuberculosis, based on the Checklist for Artificial Intelligence in Medical Imaging. It also explores several considerations to scale up CAD solutions, encompassing manufa
Source: pubs.rsna.orgCategories: General Medicine News, Future of MedicineTweet
RT @Radiology_AI: Radiology: Artificial Intelligence offers leading-edge #MachineLearning research ➡️ https://t.co/RFrCO88d7j @wacv_offic…