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atherosclerosis imaging quantitative computed tomography ai qct software  (Cleerly Inc)

 
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    Cleerly Inc atherosclerosis imaging quantitative computed tomography ai qct software
    Atherosclerosis Imaging Quantitative Computed Tomography Ai Qct Software, supplied by Cleerly Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/computer+imaging+software/ai+algorithm+qct+tomography/pm41194148-68-6-13
    Average 86 stars, based on 1 article reviews
    atherosclerosis imaging quantitative computed tomography ai qct software - by Bioz Stars, 2026-10
    86/100 stars

    Images

    Related Articles

    Computed Tomography:

    Article Title: Quantitative Coronary Atherosclerotic Plaque Burden From CCTA and the Benefit From Lipid-Lowering Medication
    Article Snippet: .. Cleerly, Inc performed artificial intelligence-guided quantitative computed tomography (AI-QCT) analysis without costs and provided an unrestricted research grant to the University of Turku. .. Dr Bär reports research grants to the institution from Medis Medical Imaging Systems, Bangerter-Rhyner Stiftung (Basel, Switzerland) and Abbott, speaker fees from Cleerly, and travel fees from Sanofi, outside the submitted work.

    Article Title: Increased high-risk plaque burden in type 2 diabetes: a 10-year follow-up study
    Article Snippet: .. CCTA images underwent AI-guided analysis using Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) software (Cleerly Inc., Denver, CO). ..

    Article Title: Prognostic implications of quantified coronary atherosclerosis and myocardial perfusion in diabetes.
    Article Snippet: .. Coronary CTA scans were analyzed using an artificial intelligence-guided quantitative computed tomography (AI-QCT) algorithm (Cleerly Labs, Cleerly, Inc., Denver, CO, USA), that is a U.S. Food and Drug Administration-cleared software validated against expert readers and invasive quantitative coronary angiography (ICA) [19, 28–30]. ..

    Article Title: Prognostic implications of quantified coronary atherosclerosis and myocardial perfusion in diabetes
    Article Snippet: .. Coronary CTA scans were analyzed using an artificial intelligence-guided quantitative computed tomography (AI-QCT) algorithm (Cleerly Labs, Cleerly, Inc., Denver, CO, USA), that is a U.S. Food and Drug Administration-cleared software validated against expert readers and invasive quantitative coronary angiography (ICA) [ , – ]. ..

    Article Title: Prognostic Value of a Coronary Computed Tomography Angiography–Derived Ischemia Algorithm: Comparison Against Hybrid Coronary Computed Tomography Angiography/ Positron Emission Tomography Imaging
    Article Snippet: .. The CCTA scans were reanalyzed blinded to clinical reading of CCTA/PET and patient outcomes using a previously described artificial intelligence‐guided quantitative computed tomography (AI‐QCT) algorithm (Cleerly LABS, Cleerly Inc., Denver, CO), which is a commercially available Food and Drug Administration–cleared software using convolutional neural networks., A total of 37 output variables from AI‐QCT, for example, related to stenosis degree and plaque volumes, were subsequently imported into the Food and Drug Administration–cleared AI‐QCT ischemia algorithm that determines the probability of myocardial ischemia based on CCTA variables using a random forest machine learning algorithm (Cleerly ISCHEMIA, Cleerly Inc., Denver, CO). ..

    Article Title: Increased high-risk plaque burden in type 2 diabetes: a 10-year follow-up study.
    Article Snippet: .. CCTA images underwent AI-guided analysis using Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) software (Cleerly Inc., Denver, CO). ..

    Imaging:

    Article Title: Increased high-risk plaque burden in type 2 diabetes: a 10-year follow-up study
    Article Snippet: .. CCTA images underwent AI-guided analysis using Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) software (Cleerly Inc., Denver, CO). ..

    Article Title: Increased high-risk plaque burden in type 2 diabetes: a 10-year follow-up study.
    Article Snippet: .. CCTA images underwent AI-guided analysis using Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) software (Cleerly Inc., Denver, CO). ..

    Software:

    Article Title: Increased high-risk plaque burden in type 2 diabetes: a 10-year follow-up study
    Article Snippet: .. CCTA images underwent AI-guided analysis using Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) software (Cleerly Inc., Denver, CO). ..

    Article Title: Prognostic implications of quantified coronary atherosclerosis and myocardial perfusion in diabetes.
    Article Snippet: .. Coronary CTA scans were analyzed using an artificial intelligence-guided quantitative computed tomography (AI-QCT) algorithm (Cleerly Labs, Cleerly, Inc., Denver, CO, USA), that is a U.S. Food and Drug Administration-cleared software validated against expert readers and invasive quantitative coronary angiography (ICA) [19, 28–30]. ..

    Article Title: Prognostic implications of quantified coronary atherosclerosis and myocardial perfusion in diabetes
    Article Snippet: .. Coronary CTA scans were analyzed using an artificial intelligence-guided quantitative computed tomography (AI-QCT) algorithm (Cleerly Labs, Cleerly, Inc., Denver, CO, USA), that is a U.S. Food and Drug Administration-cleared software validated against expert readers and invasive quantitative coronary angiography (ICA) [ , – ]. ..

    Article Title: Prognostic Value of a Coronary Computed Tomography Angiography–Derived Ischemia Algorithm: Comparison Against Hybrid Coronary Computed Tomography Angiography/ Positron Emission Tomography Imaging
    Article Snippet: .. The CCTA scans were reanalyzed blinded to clinical reading of CCTA/PET and patient outcomes using a previously described artificial intelligence‐guided quantitative computed tomography (AI‐QCT) algorithm (Cleerly LABS, Cleerly Inc., Denver, CO), which is a commercially available Food and Drug Administration–cleared software using convolutional neural networks., A total of 37 output variables from AI‐QCT, for example, related to stenosis degree and plaque volumes, were subsequently imported into the Food and Drug Administration–cleared AI‐QCT ischemia algorithm that determines the probability of myocardial ischemia based on CCTA variables using a random forest machine learning algorithm (Cleerly ISCHEMIA, Cleerly Inc., Denver, CO). ..

    Article Title: Increased high-risk plaque burden in type 2 diabetes: a 10-year follow-up study.
    Article Snippet: .. CCTA images underwent AI-guided analysis using Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) software (Cleerly Inc., Denver, CO). ..

    Article Title: Incremental value of a CCTA-derived AI-based ischemia algorithm over standard CCTA interpretation of predicting myocardial ischemia in patients with suspected coronary artery disease.
    Article Snippet: Background: A novel artificial intelligence-guided quantitative computed tomography ischemia algorithm (AIQCTischemia) comprises a machine-learned method using atherosclerosis and vascular morphology features from coronary computed tomography angiography (CCTA) images to predict myocardial ischemia.. This study evaluates the diagnostic performance of AI-QCTischemia compared to standard CCTA interpretation in detecting myocardial ischemia.. Methods and results: Patients with suspected coronary artery disease (CAD) undergoing CCTA were analyzed, with ischemia detected by stress [O]H2O positron emission tomography (PET) as the reference.

    Food & Beverages:

    Article Title: Prognostic implications of quantified coronary atherosclerosis and myocardial perfusion in diabetes.
    Article Snippet: .. Coronary CTA scans were analyzed using an artificial intelligence-guided quantitative computed tomography (AI-QCT) algorithm (Cleerly Labs, Cleerly, Inc., Denver, CO, USA), that is a U.S. Food and Drug Administration-cleared software validated against expert readers and invasive quantitative coronary angiography (ICA) [19, 28–30]. ..

    Article Title: Prognostic implications of quantified coronary atherosclerosis and myocardial perfusion in diabetes
    Article Snippet: .. Coronary CTA scans were analyzed using an artificial intelligence-guided quantitative computed tomography (AI-QCT) algorithm (Cleerly Labs, Cleerly, Inc., Denver, CO, USA), that is a U.S. Food and Drug Administration-cleared software validated against expert readers and invasive quantitative coronary angiography (ICA) [ , – ]. ..

    Article Title: Prognostic Value of a Coronary Computed Tomography Angiography–Derived Ischemia Algorithm: Comparison Against Hybrid Coronary Computed Tomography Angiography/ Positron Emission Tomography Imaging
    Article Snippet: .. The CCTA scans were reanalyzed blinded to clinical reading of CCTA/PET and patient outcomes using a previously described artificial intelligence‐guided quantitative computed tomography (AI‐QCT) algorithm (Cleerly LABS, Cleerly Inc., Denver, CO), which is a commercially available Food and Drug Administration–cleared software using convolutional neural networks., A total of 37 output variables from AI‐QCT, for example, related to stenosis degree and plaque volumes, were subsequently imported into the Food and Drug Administration–cleared AI‐QCT ischemia algorithm that determines the probability of myocardial ischemia based on CCTA variables using a random forest machine learning algorithm (Cleerly ISCHEMIA, Cleerly Inc., Denver, CO). ..

    other:

    Article Title: Prognostic Value of a Coronary Computed Tomography Angiography–Derived Ischemia Algorithm: Comparison Against Hybrid Coronary Computed Tomography Angiography/Positron Emission Tomography Imaging
    Article Snippet: The CCTA scans were reanalyzed blinded to clinical reading of CCTA/PET and patient outcomes using a previously described artificial intelligence- guided quantitative computed tomography (AI- QCT) algorithm (Cleerly LABS, Cleerly Inc., Denver, CO), which is a commercially available Food and Drug Administration–cleared software using convolutional neural networks.13,14 A total of 37 output variables from AI- QCT, for example, related to stenosis degree and plaque volumes,9 were subsequently imported into the Food and Drug Administration– cleared AI- QCTischemia algorithm that determines the probability of myocardial ischemia based on CCTA variables using a random forest machine learning algorithm (Cleerly ISCHEMIA, Cleerly Inc., Denver, CO).

    Positron Emission Tomography:

    Article Title: Incremental value of a CCTA-derived AI-based ischemia algorithm over standard CCTA interpretation of predicting myocardial ischemia in patients with suspected coronary artery disease.
    Article Snippet: Background: A novel artificial intelligence-guided quantitative computed tomography ischemia algorithm (AIQCTischemia) comprises a machine-learned method using atherosclerosis and vascular morphology features from coronary computed tomography angiography (CCTA) images to predict myocardial ischemia.. This study evaluates the diagnostic performance of AI-QCTischemia compared to standard CCTA interpretation in detecting myocardial ischemia.. Methods and results: Patients with suspected coronary artery disease (CAD) undergoing CCTA were analyzed, with ischemia detected by stress [O]H2O positron emission tomography (PET) as the reference.

    Labeling:

    Article Title: Incremental value of a CCTA-derived AI-based ischemia algorithm over standard CCTA interpretation of predicting myocardial ischemia in patients with suspected coronary artery disease.
    Article Snippet: Background: A novel artificial intelligence-guided quantitative computed tomography ischemia algorithm (AIQCTischemia) comprises a machine-learned method using atherosclerosis and vascular morphology features from coronary computed tomography angiography (CCTA) images to predict myocardial ischemia.. This study evaluates the diagnostic performance of AI-QCTischemia compared to standard CCTA interpretation in detecting myocardial ischemia.. Methods and results: Patients with suspected coronary artery disease (CAD) undergoing CCTA were analyzed, with ischemia detected by stress [O]H2O positron emission tomography (PET) as the reference.



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    Image Search Results


    Effect of stefin B and cystatin C deficiency on proliferation and cell death. ( A ) Cell proliferation in primary tumors was determined through immunodetection of Ki67 in PyMT;WT and PyMT;DKO mice at 14 weeks of age. Representative images and quantification of Ki67-positive cells as a percentage of total cells in PyMT;WT (n = 11) and PyMT;DKO (n = 10) tumors. Ki67 index was calculated from 10 high-power fields per tumor using computer-assisted data analysis in ImageJ. Differences were analyzed using Student’s t -test. ( B ) Cell death in primary tumors from PyMT;WT and PyMT;DKO mice at 14 weeks of age was determined through TUNEL assays. Representative images and quantification of TUNEL-positive cells as a percentage of total cells in PyMT;WT (n = 9) and PyMT;DKO (n = 8) tumors. The TUNEL+ index was calculated from 10 high-power fields per tumor using computer-assisted data analysis in ImageJ. Differences were analyzed using Student’s t -test.

    Journal: Cells

    Article Title: Stefin B and Cystatin C Deficiency Suppresses Tumor Growth and Alters Tumor Microenvironment in a Breast Cancer Model

    doi: 10.3390/cells15040360

    Figure Lengend Snippet: Effect of stefin B and cystatin C deficiency on proliferation and cell death. ( A ) Cell proliferation in primary tumors was determined through immunodetection of Ki67 in PyMT;WT and PyMT;DKO mice at 14 weeks of age. Representative images and quantification of Ki67-positive cells as a percentage of total cells in PyMT;WT (n = 11) and PyMT;DKO (n = 10) tumors. Ki67 index was calculated from 10 high-power fields per tumor using computer-assisted data analysis in ImageJ. Differences were analyzed using Student’s t -test. ( B ) Cell death in primary tumors from PyMT;WT and PyMT;DKO mice at 14 weeks of age was determined through TUNEL assays. Representative images and quantification of TUNEL-positive cells as a percentage of total cells in PyMT;WT (n = 9) and PyMT;DKO (n = 8) tumors. The TUNEL+ index was calculated from 10 high-power fields per tumor using computer-assisted data analysis in ImageJ. Differences were analyzed using Student’s t -test.

    Article Snippet: The average size of metastases was quantified using computer-assisted analysis with CellSens Imaging software (Version 1.17; Olympus, Tokyo, Japan).

    Techniques: Immunodetection, TUNEL Assay