Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Cardiovascular disease is the main cause of death in the West, and vascular disease is the most common cardiovascular clinical problem. The disease results in serious morbidity and mortality, and carries economic cost implications. While conventional risk factors are well established, and their biomarkers regularly monitored, patients may continue to suffer subclinical active disease, even in the absence of risk factors, until they present with sudden cardiac death or stroke. Early disease detection using direct imaging has shown to be more accurate in identifying vulnerable patients and unstable plaques than conventional risk factors. This IJMS Special Issue deals with the current opinion concerning the state-of-the-art imaging technologies available for clinical applications, and their unique value over the sole use of conventional risk factor analysis, in identifying vulnerable patients, recommending aggressive treatments, prognosticating, and in assessing related nutritional and environmental issues. This Special Issue is the continuation of our 2015 Special Issue “Atherosclerosis and Vascular Imaging”

coronary calcification: a risk or benefit? --- coronary calcification for daily risk assessment --- nutritional influences on cardiovascular calcification --- PET/CT use in assessing lipid cores and their clinical relevance --- environmental influences on cardiovascular calcification --- IMT vs conventional risk factors in improving risk stratification --- vascular calcification challenges in intervention --- vascular imaging for direct treatment delivery --- intima media thickness (imt) accuracy in identifying high risk individuals --- carotid plaque characterization --- MRA for plaque characterization

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.

Medicine --- artificial intelligence --- computer-aided diagnosis --- facial phenotypes --- machine learning --- complexity theory --- dementia --- cognitive dysfunction --- neuropsychological tests --- mental status and dementia tests --- spontaneous intracerebral hemorrhage (SICH) --- 90-day function outcome --- mortality --- osteoarthritis --- venous thrombosis --- VTE risk prediction --- machine learning algorithm --- population-based cohort study --- pituitary adenoma --- craniopharyngioma --- optic chiasm --- multicenter --- treatment outcome --- liver neoplasms --- deep learning --- diabetic complication --- gene-gene interaction --- AGER --- IL6R --- multiple sclerosis --- DNA methylation --- entropy --- atherosclerosis --- plaque characterization --- physical activity --- osteoporosis --- osteoporotic fracture --- vertebral fracture --- hip fracture --- distal radius fracture --- small for gestational age --- exposure to radiation --- prediction --- coronary plaque --- major adverse cardiovascular events --- coronary artery disease --- coronary computed tomographic angiography --- acute pancreatitis --- predictor --- interventions --- type 2 diabetes mellitus (T2DM) --- prediction model --- Chinese elderly --- prediabetes --- incident diabetes --- predictive models --- artificial intelligence --- computer-aided diagnosis --- facial phenotypes --- machine learning --- complexity theory --- dementia --- cognitive dysfunction --- neuropsychological tests --- mental status and dementia tests --- spontaneous intracerebral hemorrhage (SICH) --- 90-day function outcome --- mortality --- osteoarthritis --- venous thrombosis --- VTE risk prediction --- machine learning algorithm --- population-based cohort study --- pituitary adenoma --- craniopharyngioma --- optic chiasm --- multicenter --- treatment outcome --- liver neoplasms --- deep learning --- diabetic complication --- gene-gene interaction --- AGER --- IL6R --- multiple sclerosis --- DNA methylation --- entropy --- atherosclerosis --- plaque characterization --- physical activity --- osteoporosis --- osteoporotic fracture --- vertebral fracture --- hip fracture --- distal radius fracture --- small for gestational age --- exposure to radiation --- prediction --- coronary plaque --- major adverse cardiovascular events --- coronary artery disease --- coronary computed tomographic angiography --- acute pancreatitis --- predictor --- interventions --- type 2 diabetes mellitus (T2DM) --- prediction model --- Chinese elderly --- prediabetes --- incident diabetes --- predictive models

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.

artificial intelligence --- computer-aided diagnosis --- facial phenotypes --- machine learning --- complexity theory --- dementia --- cognitive dysfunction --- neuropsychological tests --- mental status and dementia tests --- spontaneous intracerebral hemorrhage (SICH) --- 90-day function outcome --- mortality --- osteoarthritis --- venous thrombosis --- VTE risk prediction --- machine learning algorithm --- population-based cohort study --- pituitary adenoma --- craniopharyngioma --- optic chiasm --- multicenter --- treatment outcome --- liver neoplasms --- deep learning --- diabetic complication --- gene-gene interaction --- AGER --- IL6R --- multiple sclerosis --- DNA methylation --- entropy --- atherosclerosis --- plaque characterization --- physical activity --- osteoporosis --- osteoporotic fracture --- vertebral fracture --- hip fracture --- distal radius fracture --- small for gestational age --- exposure to radiation --- prediction --- coronary plaque --- major adverse cardiovascular events --- coronary artery disease --- coronary computed tomographic angiography --- acute pancreatitis --- predictor --- interventions --- type 2 diabetes mellitus (T2DM) --- prediction model --- Chinese elderly --- prediabetes --- incident diabetes --- predictive models