cleerly software platform (Cleerly Inc)

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Cleerly Inc cleerly software platform
Cleerly Software Platform, 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/software+platform/based+deep+learning+platform+software+validated/pmc13148959-83-4-7
Average 86 stars, based on 1 article reviews

cleerly software platform - by Bioz Stars, 2026-09

86/100 stars

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Article Title: Artificial intelligence in modern clinical practice (Review)
Article Snippet: .. With automated analysis by a software platform (Cleerly Inc.), AI-QCT provides coronary artery wall and lumen specification alongside the quantification of plaques ( ). ..

Article Title: Diagnostic Performance of AI-Assisted Coronary CT Angiography: A Systematic Review and Meta-Analysis.
Article Snippet: .. FDA-cleared cloud-based software platform (Cleerly Labs, Cleerly).Uses deep learning and convolutional neural networks Invasive Quantitative Coronary Angiography 0 %, 1–49 %, 50–69 %, ≥70 %. ..

Computed Tomography:

Article Title: Pericoronary adipose tissue as a biomarker of coronary atherosclerosis and cardiovascular risk in rheumatoid arthritis
Article Snippet: .. Quantitative assessments used the Cleerly software platform (Cleerly LABS version 2.0, Cleerly Inc, New York, NY, USA), an FDA-cleared, cloud-based artificial intelligence tool for coronary computed tomography angiography analysis [ ]. .. Cleerly performs automated coronary segmentation, vessel boundary detection, and plaque identification.

Article Title: Pericoronary adipose tissue as a biomarker of coronary atherosclerosis and cardiovascular risk in rheumatoid arthritis.
Article Snippet: .. Quantitative assessments used the Cleerly software platform (Cleerly LABS version 2.0, Cleerly Inc, New York, NY, USA), an FDA-cleared, cloud-based artificial intelligence tool for coronary computed tomography angiography analysis [27]. .. Cleerly performs automated coronary segmentation, vessel boundary detection, and plaque identification.

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Article Title: Atherosclerosis Imaging Quantitative Computed Tomography (AI‐QCT) to guide referral to invasive coronary angiography in the randomized controlled CONSERVE trial
Article Snippet: AI‐QCT was performed using a commercially available software platform (Cleerly Labs, Cleerly, Inc.) that performs atherosclerosis imaging quantitative CCTA (AI‐QCT) analysis , , using a series of validated convolutional neural network models for quantitative image quality assessment, coronary segmentation and labeling, vascular morphology measurements, and atherosclerotic plaque characterization.

Article Title: Coronary CTA plaque volume severity stages according to invasive coronary angiography and FFR.
Article Snippet: Quantitative atherosclerosis characterization was performed for every coronary artery and its branches using an automated artificial intelligence (AI)-enabled web-based software platform (Cleerly Labs, Cleerly Inc., Denver CO) (9,10).

Article Title: Quantitative plaque analysis with A.I.-augmented CCTA in end-stage renal disease and complex CAD.
Article Snippet: Quantitative atherosclerosis characterization was performed for every coronary artery and its branches using an automated artificial intelligence (AI)-enabled web-based software platform (Cleerly Labs, Cleerly Inc., New York, New York) with protocols as described in further detail in the CLARIFY trial.16 Plaque volumes (mm3) were calculated for each coronary lesion and then summated to compute the total plaque volume at the patient level.

Article Title: Atherosclerotic plaque features relevant to rupture-risk detected by clinical photon-counting CT ex vivo : a proof-of-concept study
Article Snippet: Moreover, Min et al. [ ] described quantitative atherosclerosis characterisation using an automated artificial intelligence-enabled web-based software platform (Cleerly Labs, Cleerly Inc, Denver, CO, USA), although measurements were performed for coronary arteries, and the output was primarily related to stenosis extent and volume.

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