Marco Guglielmo

Marco Guglielmo serves as an Assistant Professor in Medical Cardiology at Utrecht University, where he is a key member of the Cardiovascular Imaging and Image Guided Treatment research group under the Circulatory Health strategic program. A Multimodality Imaging Cardiologist, he holds EACVI accreditations in transthoracic and transesophageal echocardiography, cardiovascular MR imaging (level 3), and cardiac CT (level 3), and is an Associate Editor for the European Heart Journal Imaging Methods and Practice.

His research program centers on leveraging advanced imaging and artificial intelligence to enhance individualized detection, prediction, and minimally invasive treatment of cardiovascular diseases, with a particular focus on sudden cardiac arrest in idiopathic ventricular fibrillation cases. He investigates sex differences in cardiac responses, coronary plaque characterization, and hemodynamic changes in valvular heart diseases to optimize patient outcomes.

Recent publications highlight his contributions to AI-driven coronary inflammation quantification, cost-effectiveness of imaging technologies, and understanding cardiovascular remodeling in mitral valve disorders. These works collectively advance precision cardiology through multimodal imaging integration and machine learning applications.

Dr. Guglielmo has received significant professional recognition including:

• Fellow of the European Association of Cardiovascular Imaging (FEACVI)
• Fellow of the Society of Cardiovascular CT (FSCCT)
• EACVI accreditation in transthoracic echocardiography (level 3)
• EACVI accreditation in transesophageal echocardiography (level 3)
• EACVI accreditation in cardiovascular MR imaging (level 3)
• EACVI accreditation in cardiac CT (level 3)

While specific details on student advising and research grants are not provided in the current text, his leadership as Past Chairman of the CT&Nuclear Working Group of the Italian Society of Cardiology and active editorial role indicate substantial contributions to the field.

He conducts his research within the Cardiovascular Imaging and Image Guided Treatment group at UMC Utrecht, which develops cutting-edge imaging protocols and AI algorithms for cardiovascular disease diagnosis and intervention.