Nuclear medicine, Perfusion, Coronary artery disease, Myocardial perfusion imaging and Radiology are his primary areas of study. His biological study spans a wide range of topics, including Hemodynamics, Area under the curve, Ejection fraction and Perfusion scanning. His work in Perfusion tackles topics such as Artificial intelligence which are related to areas like Medical physics.
His Coronary artery disease study focuses on Cardiology and Internal medicine. His study in Myocardial perfusion imaging is interdisciplinary in nature, drawing from both Machine learning, Gated SPECT, Blood flow and Emission computed tomography. His Radiology study integrates concerns from other disciplines, such as Pericardium, Clinical trial, Coronary ct angiography, Electrocardiography and Adipose tissue.
Piotr J. Slomka focuses on Nuclear medicine, Internal medicine, Cardiology, Coronary artery disease and Perfusion. His Nuclear medicine study incorporates themes from Tomography, Radiology and Perfusion scanning. The various areas that Piotr J. Slomka examines in his Radiology study include Coronary ct angiography and Artery, Coronary arteries.
His work in the fields of Internal medicine, such as Myocardial infarction, Mace and Asymptomatic, overlaps with other areas such as In patient. His Coronary artery disease research is multidisciplinary, relying on both Angiography, Stenosis and CAD. He studies Myocardial perfusion imaging which is a part of Perfusion.
The scientist’s investigation covers issues in Internal medicine, Cardiology, Coronary artery disease, Myocardial perfusion imaging and Nuclear medicine. His work on Myocardial infarction, Mace and Epicardial adipose tissue is typically connected to In patient as part of general Internal medicine study, connecting several disciplines of science. Piotr J. Slomka has researched Cardiology in several fields, including Calcification and Hazard ratio.
He interconnects Computed tomography angiography, Angiography, Confidence interval, Positron emission tomography and Coronary computed tomography angiography in the investigation of issues within Coronary artery disease. His study with Myocardial perfusion imaging involves better knowledge in Perfusion. His Nuclear medicine research is multidisciplinary, incorporating perspectives in Repeatability, Blood flow and Reproducibility.
His primary areas of investigation include Internal medicine, Coronary artery disease, Cardiology, Positron emission tomography and Nuclear medicine. The Epicardial adipose tissue research Piotr J. Slomka does as part of his general Internal medicine study is frequently linked to other disciplines of science, such as In patient, Checklist and Multidisciplinary approach, therefore creating a link between diverse domains of science. A large part of his Coronary artery disease studies is devoted to Myocardial perfusion imaging.
While the research belongs to areas of Myocardial perfusion imaging, he spends his time largely on the problem of Mace, intersecting his research to questions surrounding Single-photon emission computed tomography, Revascularization, Perfusion, Training set and Stress imaging. His research in Cardiology tackles topics such as Hazard ratio which are related to areas like Ischemia. His specific area of interest is Nuclear medicine, where Piotr J. Slomka studies PET-CT.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Optimal Medical Therapy With or Without Percutaneous Coronary Intervention to Reduce Ischemic Burden Results From the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) Trial Nuclear Substudy
Leslee J. Shaw;Daniel S. Berman;David J. Maron;G. B. John Mancini.
Circulation (2008)
Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis.
Manish Motwani;Damini Dey;Daniel S. Berman;Guido Germano.
European Heart Journal (2016)
Underestimation of extent of ischemia by gated SPECT myocardial perfusion imaging in patients with left main coronary artery disease
Daniel S Berman;Xingping Kang;Piotr J Slomka;James Gerlach.
Journal of Nuclear Cardiology (2007)
Reversible ischemia around intracerebral hemorrhage: a single-photon emission computerized tomography study.
M Shahid Siddique;Helen M Fernandes;Thomas D Wooldridge;John D Fenwick.
Journal of Neurosurgery (2002)
Aortic Size Assessment by Noncontrast Cardiac Computed Tomography: Normal Limits by Age, Gender, and Body Surface Area
Arik Wolak;Heidi Gransar;Louise E.J. Thomson;John D. Friedman.
Jacc-cardiovascular Imaging (2008)
Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review.
Damini Dey;Piotr J. Slomka;Paul Leeson;Dorin Comaniciu.
Journal of the American College of Cardiology (2019)
Pericardial Fat Burden on ECG-Gated Noncontrast CT in Asymptomatic Patients Who Subsequently Experience Adverse Cardiovascular Events
Victor Y. Cheng;Damini Dey;Damini Dey;Balaji Tamarappoo;Ryo Nakazato.
Jacc-cardiovascular Imaging (2010)
Advances in technical aspects of myocardial perfusion SPECT imaging.
Piotr J. Slomka;James A. Patton;Daniel S. Berman;Guido Germano.
Journal of Nuclear Cardiology (2009)
Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
Subhi J. Al'Aref;Khalil Anchouche;Gurpreet Singh;Piotr J. Slomka.
European Heart Journal (2019)
Automated quantification of myocardial perfusion SPECT using simplified normal limits
Piotr J. Slomka;Piotr J. Slomka;Hidetaka Nishina;Daniel S. Berman;Daniel S. Berman;Cigdem Akincioglu.
Journal of Nuclear Cardiology (2004)
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