Carlo N. De Cecco, MD, PhD (@dececcocn) 's Twitter Profile
Carlo N. De Cecco, MD, PhD

@dececcocn

Professor of Radiology and Biomedical Informatics - Director Cardiothoracic Imaging Division - Director Cardiothoracic Imaging and AI Lab @Heart_AI_Lab

ID: 396699393

linkhttps://med.emory.edu/departments/radiology/research/cardiothoracic_imaging_lab/index.html calendar_today23-10-2011 17:04:22

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CircImaging (@circimaging) 's Twitter Profile Photo

Sim Pub w/ #ACC25: AI-Quantitative CT reveals sex-specific differences in coronary plaque & MACE risk. Despite lower plaque burden, women had higher relative risk per unit⬆️in plaque volume & % atheroma volume. ➡️ Time to rethink risk in women? #CONFIRM2 ahajournals.org/doi/10.1161/CI…

Sim Pub w/ #ACC25: AI-Quantitative CT reveals sex-specific differences in coronary plaque & MACE risk.
Despite lower plaque burden, women had higher relative risk per unit⬆️in plaque volume & % atheroma volume. 
➡️ Time to rethink risk in women?
#CONFIRM2 ahajournals.org/doi/10.1161/CI…
@RadiologyEditor (@radiologyeditor) 's Twitter Profile Photo

Is AI really ready to take on CAD-RADS 2.0? 🤖🫀 In this editorial, Marly van Assen and Carlo N. De Cecco, MD, PhD weigh in on how on-premise AI stacks up for classifying coronary CT angiography. Smart read if you’re curious where AI fits in clinical decision-making. pubs.rsna.org/doi/10.1148/ra…

Radiology (@radiology_rsna) 's Twitter Profile Photo

On-premises AI accurately rules out obstructive CAD at coronary CTA, with substantial to near-perfect agreement with human experts using CAD-RADS 2.0 categories for stenosis severity and plaque burden. UTSW Radiology bit.ly/43uTisE

On-premises AI accurately rules out obstructive CAD at coronary CTA, with substantial to near-perfect agreement with human experts using CAD-RADS 2.0 categories for stenosis severity and plaque burden. <a href="/UTSW_Radiology/">UTSW Radiology</a> bit.ly/43uTisE