What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Radiology
- Cardiology
James K. Min mainly focuses on Internal medicine, Radiology, Coronary artery disease, Cardiology and Stenosis.
His Radiology research is multidisciplinary, incorporating perspectives in Coronary ct angiography and Fractional flow reserve.
The Fractional flow reserve study combines topics in areas such as Computed tomography angiography, Single-photon emission computed tomography and Receiver operating characteristic.
In his work, All cause mortality is strongly intertwined with Risk assessment, which is a subfield of Coronary artery disease.
His Cardiology research is multidisciplinary, incorporating elements of Appropriate Use Criteria and Computed tomographic angiography.
His Stenosis research is multidisciplinary, relying on both Artery, Predictive value of tests, Invasive coronary angiography and SSS*.
His most cited work include:
- 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. (1587 citations)
- Diagnosis of Ischemia-Causing Coronary Stenoses by Noninvasive Fractional Flow Reserve Computed From Coronary Computed Tomographic Angiograms : Results From the Prospective Multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) Study (831 citations)
- Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality. (749 citations)
What are the main themes of his work throughout his whole career to date?
James K. Min spends much of his time researching Internal medicine, Cardiology, Coronary artery disease, Radiology and Stenosis.
His Myocardial infarction, Asymptomatic, Confidence interval and Hazard ratio study in the realm of Internal medicine interacts with subjects such as In patient.
James K. Min studied Coronary artery disease and Predictive value of tests that intersect with Computed tomography angiography.
His Radiology study incorporates themes from Coronary ct angiography and Nuclear medicine.
His research integrates issues of Prospective cohort study and Revascularization in his study of Stenosis.
His studies deal with areas such as Lesion and Hemodynamics as well as Fractional flow reserve.
He most often published in these fields:
- Internal medicine (63.25%)
- Cardiology (60.66%)
- Coronary artery disease (50.18%)
What were the highlights of his more recent work (between 2018-2021)?
- Internal medicine (63.25%)
- Cardiology (60.66%)
- Coronary artery disease (50.18%)
In recent papers he was focusing on the following fields of study:
James K. Min focuses on Internal medicine, Cardiology, Coronary artery disease, Coronary computed tomography angiography and Coronary atherosclerosis.
In his study, James K. Min carries out multidisciplinary Internal medicine and In patient research.
His Myocardial infarction, Stenosis, Ischemia, Fractional flow reserve and Atheroma investigations are all subjects of Cardiology research.
His Coronary artery disease study also includes
- Revascularization, which have a strong connection to Body mass index,
- Angina that intertwine with fields like Randomized controlled trial, Cardiac catheterization and Angiography.
His work deals with themes such as Acute coronary syndrome, Coronary artery calcification, Radiology, Artificial intelligence and Machine learning, which intersect with Coronary computed tomography angiography.
His research in Radiology is mostly concerned with Computed tomographic angiography.
Between 2018 and 2021, his most popular works were:
- Initial invasive or conservative strategy for stable coronary disease. (390 citations)
- Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging (122 citations)
- Deep learning for cardiovascular medicine: a practical primer. (62 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cardiology
- Myocardial infarction
Internal medicine, Cardiology, Coronary artery disease, Coronary computed tomography angiography and Artificial intelligence are his primary areas of study.
His study in Myocardial infarction, Randomized controlled trial, Angina, Stenosis and Confidence interval is carried out as part of his Internal medicine studies.
The concepts of his Cardiology study are interwoven with issues in Quartile and Computed tomographic angiography.
His Coronary artery disease research is multidisciplinary, incorporating perspectives in Hazard ratio, Clinical trial, Fractional flow reserve, Chest pain and Revascularization.
The study incorporates disciplines such as Coronary Calcium Score, Interquartile range, Coronary artery calcium score and Risk assessment in addition to Coronary computed tomography angiography.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Computed tomography, Machine learning and Computer vision.
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