Berman, Daniel S.
Cedars-Sinai Medical Center
20 papers on CoChatORCID 0000-0002-3793-9578
Most cited papers
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Optimal Medical Therapy with or without PCI for Stable Coronary Disease
Boden, W. E., O'Rourke, R. A., Teo, K. K., Hartigan, P. M., Maron, D. J., Kostuk, W. J., Knudtson, M., Dada, M., Casperson, P., Harris, C. L., et al. (2007) · New England Journal of Medicine
Coronary Interventions and DiagnosticsAntiplatelet Therapy and Cardiovascular Diseases
Cited by 4,699
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ACC/AHA/ASNC Guidelines for the Clinical Use of Cardiac Radionuclide Imaging—Executive Summary
Klocke, F. J., Baird, M. G., Lorell, B. H., Bateman, T. M., Messer, J. V., Berman, D. S., O’Gara, P. T., Carabello, B. A., Russell, R. O., Cerqueira, M. D., et al. (2003) · Journal of the American College of Cardiology
Cardiac Imaging and DiagnosticsMedical Imaging Techniques and Applications
Cited by 1,303
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Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality
Min, J. K., Shaw, L. J., Devereux, R. B., Okin, P. M., Weinsaft, J. W., Russo, D. J., Lippolis, N. J., Berman, D. S., & Callister, T. Q. (2007) · Journal of the American College of Cardiology
Cardiac Imaging and DiagnosticsCoronary Interventions and Diagnostics
Cited by 1,055
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Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis
Motwani, M., Dey, D., Berman, D. S., Germano, G., Achenbach, S., Al-Mallah, M. H., Andreini, D., Budoff, M. J., Cademartiri, F., Callister, T. Q., et al. (2016) · European Heart Journal
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare
Cited by 692
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Prognostic value of coronary artery calcium screening in subjects with and without diabetes
Raggi, P., Shaw, L. J., Berman, D. S., & Callister, T. Q. (2004) · Journal of the American College of Cardiology
Cardiac Imaging and DiagnosticsDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 608
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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
Al’Aref, S. J., Anchouche, K., Singh, G., Slomka, P. J., Kolli, K. K., Kumar, A., Pandey, M., Maliakal, G., van Rosendael, A. R., Beecy, A. N., et al. (2019) · European Heart Journal
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 534
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Prognostic Significance of Dyspnea in Patients Referred for Cardiac Stress Testing
Abidov, A., Rozanski, A., Hachamovitch, R., Hayes, S. W., Aboul-Enein, F., Cohen, I., Friedman, J. D., Germano, G., & Berman, D. S. (2005) · New England Journal of Medicine
Cardiac Imaging and DiagnosticsCardiac Health and Mental Health
Cited by 297
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Variability in Ejection Fraction Measured By Echocardiography, Gated Single-Photon Emission Computed Tomography, and Cardiac Magnetic Resonance in Patients With Coronary Artery Disease and Left Ventricular Dysfunction
Pellikka, P. A., She, L., Holly, T. A., Lin, G., Varadarajan, P., Pai, R. G., Bonow, R. O., Pohost, G. M., Panza, J. A., Berman, D. S., et al. (2018) · JAMA Network Open
Cardiovascular Function and Risk FactorsCardiac Imaging and Diagnostics
Cited by 238
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Coronary Artery Disease - Reporting and Data System (CAD-RADS)
Cury, R. C., Abbara, S., Achenbach, S., Agatston, A., Berman, D. S., Budoff, M. J., Dill, K. E., Jacobs, J. E., Maroules, C. D., Rubin, G. D., et al. (2016) · JACC: Cardiovascular Imaging
Cardiac Imaging and DiagnosticsCoronary Interventions and Diagnostics
Cited by 231
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Long-Term All-Cause and Cause-Specific Mortality in Asymptomatic Patients With CAC ≥1,000
Peng, A. W., Mirbolouk, M., Orimoloye, O. A., Osei, A. D., Dardari, Z., Dzaye, O., Budoff, M. J., Shaw, L., Miedema, M. D., Rumberger, J., et al. (2020) · JACC: Cardiovascular Imaging
Cardiac Imaging and DiagnosticsHealthcare Systems and Public Health
Cited by 134
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Does coronary CT angiography improve risk stratification over coronary calcium scoring in symptomatic patients with suspected coronary artery disease? Results from the prospective multicenter international CONFIRM registry
Al-Mallah, M. H., Qureshi, W., Lin, F. Y., Achenbach, S., Berman, D. S., Budoff, M. J., Callister, T. Q., Chang, H.-J., Cademartiri, F., Chinnaiyan, K., et al. (2014) · European Heart Journal - Cardiovascular Imaging
Cardiac Imaging and DiagnosticsCoronary Interventions and Diagnostics
Cited by 125
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Contrast-enhanced computed tomography assessment of aortic stenosis
Cartlidge, T. R., Bing, R., Kwiecinski, J., Guzzetti, E., Pawade, T. A., Doris, M. K., Adamson, P. D., Massera, D., Lembo, M., Peeters, F. E. C. M., et al. (2021) · Heart
Cardiac Valve Diseases and TreatmentsCardiac Imaging and Diagnostics
Cited by 82
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Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography
Miller, R. J. H., Killekar, A., Shanbhag, A., Bednarski, B., Michalowska, A. M., Ruddy, T. D., Einstein, A. J., Newby, D. E., Lemley, M., Pieszko, K., et al. (2024) · Nature Communications
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education
Cited by 44
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AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging
Miller, R. J. H., Shanbhag, A., Killekar, A., Lemley, M., Bednarski, B., Kavanagh, P. B., Feher, A., Miller, E. J., Bateman, T., Builoff, V., et al. (2024) · JACC: Cardiovascular Imaging
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education
Cited by 33
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Lifestyle, glycosylated hemoglobin A1c, and survival among patients with stable ischemic heart disease and diabetes
Mancini, G. B. J., Maron, D. J., Hartigan, P. M., Spertus, J. A., Kostuk, W. J., Berman, D. S., Teo, K. K., Weintraub, W. S., & Boden, W. E. (2019) · Journal of the American College of Cardiology
Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research
Cited by 33
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Coronary atherosclerosis scoring with semiquantitative CCTA risk scores for prediction of major adverse cardiac events: propensity score-based analysis of diabetic and non-diabetic patients
van den Hoogen, I. J., van Rosendael, A. R., Lin, F. Y., Lu, Y., Dimitriu-Leen, A. C., Smit, J. M., Scholte, A. J. H. A., Achenbach, S., Al-Mallah, M. H., Andreini, D., et al. (2020) · Journal of Cardiovascular Computed Tomography
Cardiac Imaging and DiagnosticsCoronary Interventions and Diagnostics
Cited by 31
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AI for Multistructure Incidental Findings and Mortality Prediction at Chest CT in Lung Cancer Screening
Marcinkiewicz, A. M., Buchwald, M., Shanbhag, A., Bednarski, B. P., Killekar, A., Miller, R. J. H., Builoff, V., Lemley, M., Berman, D. S., Dey, D., et al. (2024) · Radiology
Radiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment
Cited by 20
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Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction
Marcinkiewicz, A. M., Zhang, W., Shanbhag, A., Miller, R. J. H., Lemley, M., Ramirez, G., Buchwald, M., Killekar, A., Kavanagh, P. B., Feher, A., et al. (2025) · npj Digital Medicine
Cardiac Imaging and DiagnosticsRadiomics and Machine Learning in Medical Imaging
Cited by 12
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Characterization of Aortic Valve Stenosis by CT Angiography in a Diverse US Cohort
Lorenzatti, D., Filtz, A., Pina, P., Geers, J., Gilman, J., Daich, J., Ippolito, P., Aftab, A., Schenone, A. L., Gongora, C. A., et al. (2025) · Circulation: Cardiovascular Imaging
Cardiac Valve Diseases and TreatmentsAortic Disease and Treatment Approaches
Cited by 7
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Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment
Zhou, J., Shanbhag, A. D., Han, D., Marcinkiewicz, A. M., Buchwald, M., Miller, R. J. H., Killekar, A., Manral, N., Grodecki, K., Geers, J., et al. (2025) · European Heart Journal - Cardiovascular Imaging
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education
Cited by 6
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