137 related articles for article (PubMed ID: 38786284)
1. Clinical Validation of a Machine-Learned, Point-of-Care System to IDENTIFY Functionally Significant Coronary Artery Disease.
Stuckey TD; Meine FJ; McMinn TR; Depta JP; Bennett BA; McGarry TF; Carroll WS; Suh DD; Steuter JA; Roberts MC; Gillins HR; Fathieh F; Burton T; Nemati N; Shadforth IP; Ramchandani S; Bridges CR; Rabbat MG
Diagnostics (Basel); 2024 May; 14(10):. PubMed ID: 38786284
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease.
Stuckey T; Meine F; McMinn T; Depta JP; Bennett B; McGarry T; Carroll W; Suh D; Steuter JA; Roberts M; Gillins HR; Lange E; Fathieh F; Burton T; Khosousi A; Shadforth I; Sanders WE; Rabbat MG
Front Cardiovasc Med; 2022; 9():956147. PubMed ID: 36119746
[TBL] [Abstract][Full Text] [Related]
3. Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease.
Burton T; Fathieh F; Nemati N; Gillins HR; Shadforth IP; Ramchandani S; Bridges CR
Diagnostics (Basel); 2024 Mar; 14(7):. PubMed ID: 38611631
[TBL] [Abstract][Full Text] [Related]
4. Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning.
Stuckey TD; Gammon RS; Goswami R; Depta JP; Steuter JA; Meine FJ; Roberts MC; Singh N; Ramchandani S; Burton T; Grouchy P; Khosousi A; Shadforth I; Sanders WE
PLoS One; 2018; 13(8):e0198603. PubMed ID: 30089110
[TBL] [Abstract][Full Text] [Related]
5. 64-slice computed tomographic angiography for the diagnosis of intermediate risk coronary artery disease: an evidence-based analysis.
Medical Advisory Secretariat
Ont Health Technol Assess Ser; 2010; 10(11):1-44. PubMed ID: 23074388
[TBL] [Abstract][Full Text] [Related]
6. Predicting cardiac disease from interactions of simultaneously-acquired hemodynamic and cardiac signals.
Fathieh F; Paak M; Khosousi A; Burton T; Sanders WE; Doomra A; Lange E; Khedraki R; Bhavnani S; Ramchandani S
Comput Methods Programs Biomed; 2021 Apr; 202():105970. PubMed ID: 33610035
[TBL] [Abstract][Full Text] [Related]
7. Diagnostic Accuracy of Noninvasive 64-row Computed Tomographic Coronary Angiography (CCTA) Compared with Myocardial Perfusion Imaging (MPI): The PICTURE Study, A Prospective Multicenter Trial.
Budoff MJ; Li D; Kazerooni EA; Thomas GS; Mieres JH; Shaw LJ
Acad Radiol; 2017 Jan; 24(1):22-29. PubMed ID: 27771227
[TBL] [Abstract][Full Text] [Related]
8. Diagnostic accuracy of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) in patients before liver transplantation using CT-FFR machine learning algorithm.
Schuessler M; Saner F; Al-Rashid F; Schlosser T
Eur Radiol; 2022 Dec; 32(12):8761-8768. PubMed ID: 35729425
[TBL] [Abstract][Full Text] [Related]
9. Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry.
Al'Aref SJ; Maliakal G; Singh G; van Rosendael AR; Ma X; Xu Z; Alawamlh OAH; Lee B; Pandey M; Achenbach S; Al-Mallah MH; Andreini D; Bax JJ; Berman DS; Budoff MJ; Cademartiri F; Callister TQ; Chang HJ; Chinnaiyan K; Chow BJW; Cury RC; DeLago A; Feuchtner G; Hadamitzky M; Hausleiter J; Kaufmann PA; Kim YJ; Leipsic JA; Maffei E; Marques H; Gonçalves PA; Pontone G; Raff GL; Rubinshtein R; Villines TC; Gransar H; Lu Y; Jones EC; Peña JM; Lin FY; Min JK; Shaw LJ
Eur Heart J; 2020 Jan; 41(3):359-367. PubMed ID: 31513271
[TBL] [Abstract][Full Text] [Related]
10. Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion.
Muscogiuri G; Chiesa M; Baggiano A; Spadafora P; De Santis R; Guglielmo M; Scafuri S; Fusini L; Mushtaq S; Conte E; Annoni A; Formenti A; Mancini ME; Ricci F; Ariano FP; Spiritigliozzi L; Babbaro M; Mollace R; Maragna R; Giacari CM; Andreini D; Guaricci AI; Colombo GI; Rabbat MG; Pepi M; Sardanelli F; Pontone G
Eur J Nucl Med Mol Imaging; 2022 Jul; 49(9):3119-3128. PubMed ID: 35194673
[TBL] [Abstract][Full Text] [Related]
11. Pre-test probability for coronary artery disease in patients with chest pain based on machine learning techniques.
Choi BG; Park JY; Rha SW; Noh YK
Int J Cardiol; 2023 Aug; 385():85-93. PubMed ID: 37230426
[TBL] [Abstract][Full Text] [Related]
12. Clinical effectiveness of coronary computed tomographic angiography in the triage of patients to cardiac catheterization and revascularization after inconclusive stress testing: results of a 2-year prospective trial.
Abidov A; Gallagher MJ; Chinnaiyan KM; Mehta LS; Wegner JH; Raff GL
J Nucl Cardiol; 2009; 16(5):701-13. PubMed ID: 19626385
[TBL] [Abstract][Full Text] [Related]
13. The effect of scan and patient parameters on the diagnostic performance of AI for detecting coronary stenosis on coronary CT angiography.
Jonas RA; Barkovich E; Choi AD; Griffin WF; Riess J; Marques H; Chang HJ; Choi JH; Doh JH; Her AY; Koo BK; Nam CW; Park HB; Shin SH; Cole J; Gimelli A; Khan MA; Lu B; Gao Y; Nabi F; Nakazato R; Schoepf UJ; Driessen RS; Bom MJ; Thompson RC; Jang JJ; Ridner M; Rowan C; Avelar E; Généreux P; Knaapen P; de Waard GA; Pontone G; Andreini D; Guglielmo M; Al-Mallah MH; Jennings RS; Crabtree TR; Earls JP
Clin Imaging; 2022 Apr; 84():149-158. PubMed ID: 35217284
[TBL] [Abstract][Full Text] [Related]
14. Dynamic Stress Computed Tomography Perfusion With a Whole-Heart Coverage Scanner in Addition to Coronary Computed Tomography Angiography and Fractional Flow Reserve Computed Tomography Derived.
Pontone G; Baggiano A; Andreini D; Guaricci AI; Guglielmo M; Muscogiuri G; Fusini L; Soldi M; Del Torto A; Mushtaq S; Conte E; Calligaris G; De Martini S; Ferrari C; Galli S; Grancini L; Olivares P; Ravagnani P; Teruzzi G; Trabattoni D; Fabbiocchi F; Montorsi P; Rabbat MG; Bartorelli AL; Pepi M
JACC Cardiovasc Imaging; 2019 Dec; 12(12):2460-2471. PubMed ID: 31005531
[TBL] [Abstract][Full Text] [Related]
15. Incremental diagnostic accuracy of hybrid SPECT/CT coronary angiography in a population with an intermediate to high pre-test likelihood of coronary artery disease.
Schaap J; Kauling RM; Boekholdt SM; Nieman K; Meijboom WB; Post MC; Van der Heyden JA; de Kroon TL; van Es HW; Rensing BJ; Verzijlbergen JF
Eur Heart J Cardiovasc Imaging; 2013 Jul; 14(7):642-9. PubMed ID: 23291392
[TBL] [Abstract][Full Text] [Related]
16. Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.
van Rosendael AR; Maliakal G; Kolli KK; Beecy A; Al'Aref SJ; Dwivedi A; Singh G; Panday M; Kumar A; Ma X; Achenbach S; Al-Mallah MH; Andreini D; Bax JJ; Berman DS; Budoff MJ; Cademartiri F; Callister TQ; Chang HJ; Chinnaiyan K; Chow BJW; Cury RC; DeLago A; Feuchtner G; Hadamitzky M; Hausleiter J; Kaufmann PA; Kim YJ; Leipsic JA; Maffei E; Marques H; Pontone G; Raff GL; Rubinshtein R; Shaw LJ; Villines TC; Gransar H; Lu Y; Jones EC; Peña JM; Lin FY; Min JK
J Cardiovasc Comput Tomogr; 2018; 12(3):204-209. PubMed ID: 29753765
[TBL] [Abstract][Full Text] [Related]
17. 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.
Budoff MJ; Dowe D; Jollis JG; Gitter M; Sutherland J; Halamert E; Scherer M; Bellinger R; Martin A; Benton R; Delago A; Min JK
J Am Coll Cardiol; 2008 Nov; 52(21):1724-32. PubMed ID: 19007693
[TBL] [Abstract][Full Text] [Related]
18. Combination of computed tomography angiography with coronary artery calcium score for improved diagnosis of coronary artery disease: a collaborative meta-analysis of stable chest pain patients referred for invasive coronary angiography.
Mohamed M; Bosserdt M; Wieske V; Dubourg B; Alkadhi H; Garcia MJ; Leschka S; Zimmermann E; Shabestari AA; Nørgaard BL; Meijs MFL; Øvrehus KA; Diederichsen ACP; Knuuti J; Halvorsen BA; Mendoza-Rodriguez V; Wan YL; Bettencourt N; Martuscelli E; Buechel RR; Mickley H; Sun K; Muraglia S; Kaufmann PA; Herzog BA; Tardif JC; Schütz GM; Laule M; Newby DE; Achenbach S; Budoff M; Haase R; Biavati F; Mézquita AV; Schlattmann P; Dewey M;
Eur Radiol; 2024 Apr; 34(4):2426-2436. PubMed ID: 37831139
[TBL] [Abstract][Full Text] [Related]
19. Coronary computed tomography angiography analysis using artificial intelligence for stenosis quantification and stent segmentation: a multicenter study.
Meng Q; Yu P; Yin S; Li X; Chang Y; Xu W; Wu C; Xu N; Zhang H; Wang Y; Shen H; Zhang R; Zhang Q
Quant Imaging Med Surg; 2023 Oct; 13(10):6876-6886. PubMed ID: 37869330
[TBL] [Abstract][Full Text] [Related]
20. Impact of machine-learning-based coronary computed tomography angiography-derived fractional flow reserve on decision-making in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.
Brandt V; Schoepf UJ; Aquino GJ; Bekeredjian R; Varga-Szemes A; Emrich T; Bayer RR; Schwarz F; Kroencke TJ; Tesche C; Decker JA
Eur Radiol; 2022 Sep; 32(9):6008-6016. PubMed ID: 35359166
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
