What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Radiology
- Surgery
The scientist’s investigation covers issues in Radiology, Internal medicine, Cardiology, Coronary artery disease and Stenosis.
His Radiology study combines topics from a wide range of disciplines, such as Coronary angiography, Coronary ct angiography and Prospective cohort study.
His study in Cardiology is interdisciplinary in nature, drawing from both Severity of illness, Computed tomographic angiography and Heart rate.
He has researched Coronary artery disease in several fields, including Predictive value of tests, Proportional hazards model, Chest pain and Pre- and post-test probability.
He works mostly in the field of Stenosis, limiting it down to topics relating to Coronary artery bypass surgery and, in certain cases, Bypass surgery and Surgical anastomosis, as a part of the same area of interest.
The Angiography study combines topics in areas such as Spiral computed tomography and Unstable angina.
His most cited work include:
- High-resolution spiral computed tomography coronary angiography in patients referred for diagnostic conventional coronary angiography. (969 citations)
- Reliable noninvasive coronary angiography with fast submillimeter multislice spiral computed tomography (932 citations)
- Age- and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the International Multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) of 23,854 patients without known coronary artery disease. (508 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Radiology, Internal medicine, Cardiology, Coronary artery disease and Coronary angiography.
He combines subjects such as Coronary arteries and Artery with his study of Radiology.
Internal medicine is closely attributed to Diabetes mellitus in his research.
His Coronary atherosclerosis, Coronary computed tomography angiography and Coronary ct angiography study in the realm of Cardiology interacts with subjects such as In patient.
The concepts of his Coronary artery disease study are interwoven with issues in Predictive value of tests, Tomography, Chest pain, Hazard ratio and Prospective cohort study.
His research in Coronary angiography tackles topics such as Nuclear medicine which are related to areas like Magnetic resonance imaging.
He most often published in these fields:
- Radiology (54.92%)
- Internal medicine (52.62%)
- Cardiology (51.38%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (52.62%)
- Cardiology (51.38%)
- Coronary artery disease (44.46%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Internal medicine, Cardiology, Coronary artery disease, Coronary computed tomography angiography and Myocardial infarction.
In the subject of general Internal medicine, his work in Stenosis, Artery and Coronary plaque is often linked to In patient, thereby combining diverse domains of study.
His biological study spans a wide range of topics, including Interquartile range, Computed tomographic angiography and Confidence interval.
His research integrates issues of Computed tomography angiography, Predictive value of tests, Asymptomatic, Disease and Hazard ratio in his study of Coronary artery disease.
In his study, which falls under the umbrella issue of Myocardial infarction, Risk factor, Receiver operating characteristic, Machine learning and Artificial intelligence is strongly linked to Framingham Risk Score.
The study of Radiology is intertwined with the study of Coronary ct angiography in a number of ways.
Between 2017 and 2021, his most popular works were:
- Coronary Atherosclerotic Precursors of Acute Coronary Syndromes (140 citations)
- Effects of Statins on Coronary Atherosclerotic Plaques: The PARADIGM Study (137 citations)
- 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. (71 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Radiology
Internal medicine, Cardiology, Coronary artery disease, Myocardial infarction and Coronary computed tomography angiography are his primary areas of study.
In his work, Odds ratio is strongly intertwined with Confidence interval, which is a subfield of Cardiology.
His specific area of interest is Coronary artery disease, where Filippo Cademartiri studies Coronary atherosclerosis.
His Myocardial infarction research is multidisciplinary, incorporating perspectives in Framingham Risk Score, Mortality rate, Angiography and Proportional hazards model.
His work in Coronary computed tomography angiography addresses issues such as Coronary artery calcium score, which are connected to fields such as Area under the curve, Pre- and post-test probability, Chest pain and Coronary Artery Calcium Scoring.
To a larger extent, Filippo Cademartiri studies Radiology with the aim of understanding Coronary Calcium Score.
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