Machine learning and image analysis in vascular surgery
RT Tomihama, S Dass, S Chen, SC Kiang - Seminars in Vascular Surgery, 2023 - Elsevier
Deep learning (DL), a subset of machine learning within artificial intelligence, has been
successful in medical image analysis in vascular surgery. Unlike traditional computer based …
successful in medical image analysis in vascular surgery. Unlike traditional computer based …
[HTML][HTML] Global Trends in Risk Factors and Therapeutic Interventions for People with Diabetes and Cardiovascular Disease: Results from the WHO International …
This study presents a comprehensive analysis of 898 clinical trials conducted between 1999
and 2023, focusing on the interplay of metabolic syndrome, cardiovascular diseases …
and 2023, focusing on the interplay of metabolic syndrome, cardiovascular diseases …
Editorial comments: focus on cardiovascular risk in type 2 diabetes mellitus and metabolic disorders
Diabetes mellitus remains one of the most significant cardiovascular risk factors,
necessitating robust prevention strategies. The current European Society of Cardiology …
necessitating robust prevention strategies. The current European Society of Cardiology …
ChineseCVD: first-in-world, web-based, Chinese-specific Cardiovascular Risk Calculator incorporating long COVID, COVID-19 vaccination, SGLT2i and PCSK9i …
Background: Web-based risk prediction tools for cardiovascular diseases are crucial for
providing rapid risk estimates for busy clinicians, but there is none available specifically for …
providing rapid risk estimates for busy clinicians, but there is none available specifically for …
The need for population-specific cardiovascular risk prediction models for guiding risk stratification and treatment approaches in type 2 diabetes
Cardiovascular disease is of particular concern among people living with diabetes, as they
have an increased risk of developing cardiovascular complications compared with the …
have an increased risk of developing cardiovascular complications compared with the …