Budoff MJ, Dowe D, Jollis JG et al (2008) Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary computed Tomographic Angiography of individuals undergoing invasive coronary angiography) trial. J Am Coll Cardiol 52(21):1724–1732

Article  PubMed  Google Scholar 

Gulati M, Levy DP, Mukherjee D et al (2021) AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 144(22):e368-e454. 2021

Kang SH, Park GM, Lee SW et al (2016) Long-term prognostic value of coronary CT angiography in asymptomatic type 2 diabetes Mellitus. JACC Cardiovasc Imaging 9(11):1292–1300

Article  PubMed  Google Scholar 

Moon SJ, Chun EJ, Yoon YE et al (2019) Long-term prognostic value of coronary computed tomography angiography in an asymptomatic elderly population. J Am Heart Assoc. 8(23). Epub 2019 Nov 22.

Finck T, Hardenberg J, Will A et al (2019) 10-Year Follow-Up after coronary computed tomography angiography in patients with suspected coronary artery disease. JACC Cardiovasc Imaging 12:1330–1338

Article  PubMed  Google Scholar 

Choi AD, Margues H, Kumar V et al (2021) CT evaluation by Artificial Intelligence for Atherosclerosis, stenosis, and vascular morphology (CLARIFY): a Multi-center, International Study. J Cardiovasc Comput Tomogr 15:470–476

Article  PubMed  Google Scholar 

Meah MN, Tzolos E, Wang KL, Bularga A, Dweck MR, Curzen N, Kardos A, Keating L, Storey RF, Mills NL, Slomka PJ, Dey D, Newby DE, Gray A, Williams MC, Roobottom C (2022) Plaque burden and 1-Year outcomes in acute chest Pain: results from the Multicenter RAPID-CTCA Trial. JACC Cardiovasc Imaging 15(11):1916–1925

Article  PubMed  PubMed Central  Google Scholar 

Chen M, Wang X, Hao G et al (2020) Diagnostic performance of Deep Learning-based vascular extraction and stenosis detection technique for coronary artery disease. Br J Radiol 93:2019018

Article  Google Scholar 

Lin A, Manral N, McElhinney P et al (2022) Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and Cardiac Risk Prediction: An International Multicentre Study. Lancet Digit Health 4:e256–e265

Article  CAS  PubMed  PubMed Central  Google Scholar 

Nurmohamed N, Bom M, Jukema R et al (2023) AI-Guided quantitative plaque staging predicts Long-Term Cardiovascular outcomes in patients at risk for atherosclerotic CVD. JACC Cardiovasc Imaging. S1936-878X. Online ahead of Print.

Kim Y, Choi AD, Telluri A et al (2023) Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) to Guide Referral to Invasive Coronary Angiography in the Randomized Controlled CONSERVE Trial. Clin Cardiol 46:477–483

Article  PubMed  PubMed Central  Google Scholar 

Khan H, Bansal K, Griffin W et al (2024) Assessment of atherosclerotic plaque burden: comparison of AI-QWCT versus SIS, CAC, visual and CAD-RADS stenosis categories. Int J Cardiovasc Imaging. Apr 17. Online ahead of print.

Abbara S, Blanke P, Maroules CD et al (2016) SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: a report of the society of Cardiovascular computed Tomography Guidelines Committee: endorsed by the North American Society for Cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr 10(6):435–449

Article  PubMed  Google Scholar 

Leipsic J, Abbara S, Achenbach S et al (2014) SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. J Cardiovasc Comput Tomogr 8(5):342–358

Article  PubMed  Google Scholar 

Cury RC, Leipsic J, Abbara S et al (2022) Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr 16(6):536–557CAD-RADS™ 2.0–2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed

U.S. Food and Drug Administration. Cleerly Labs 510 (k) premarket notification. Accessed April 12, (2021) https://www.accessdata.fda.gov/cdrh_docs/pdf19/K190868.pdf

Goff DC Jr, Lloyd-Jones DM, Bennett G et al (2014) 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice guidelines. Circulation 129(25 Suppl 2):S49–73

PubMed  Google Scholar 

Bittencourt MS, Hulten E, Goshhajra B et al (2014) Prognostic Value of Nonobstructive and Obstructive Coronary Artery Disease detected by Coronary computed Tomography Angiography to identify Cardiovascular events. Circ Cardiovasc Imaging 7:282–291

Article  PubMed  Google Scholar