Skip to main content
Zacchi I. Attia on Muck Rack

Zacchi I. Attia

As seen in: Nature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Zacchi I.

Contact Zacchi I., search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Detection of undiagnosed liver cirrhosis via AI-enabled electrocardiogram: a pragmatic, cluster-randomized clinical trial - Nature Medicine

|
By Douglas A Simonetto, Alberto Calleri, Ryan J. Lennon, Puru Rattan, Stephen Stacey, Paul Friedman, Patrick S. Kamath, Peter A. Noseworthy, Mark E. Deyo-Svendsen, Zacchi I. Attia
| Nature Verified
Abstract Advanced chronic liver disease (CLD) affects 2–5% of the general population, and accessible screening tools are needed in primary care. Here we conducted a pragmatic trial to assess whether an electrocardiogram (ECG)-based machine learning (ECG-ML) model enables early detection of advanced CLD. In this trial, 98 primary care teams were cluster randomized to intervention (access to ECG-ML results; 123 clinicians) or usual care (122 clinicians).
Open in Who Shared Issue with article?
See all 1 articles