Webinar Overview

Join us for this ACC Cross-Sectional artificial intelligence (AI) Work Group Webinar where we discuss AI in clinical practice.

In this ACC Cross-Sectional AI Work Group webinar, we will discuss AI in clinical practice by utilizing a major reporting guideline from the EQUATOR Network: the recently published TRIPOD-AI (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis – AI update). TRIPOD-AI offers harmonized guidance for reporting studies that develop or validate prediction models using either regression or machine learning methods. The aim of these guidelines is to support transparent reporting, facilitate critical appraisal and enhance the implementation of these models. Gary J. Collins, MD, will present this key new document, offering insights into its development and the challenges encountered along the way. Following his presentation, two early-career AI researchers will showcase two AI-based studies in pediatric cardiology, illustrating how the TRIPOD-AI statement can be applied in practice.

Key Objectives/Learning Outcomes: By the end of this webinar, participants will be able to:

1. Understand the key components and rationale behind the TRIPOD-AI statement.
2. Gain awareness of the critical elements for transparent and high-quality reporting of AI-based prediction models.
3. Learn how to access TRIPOD-AI resources, including the dedicated checklist.
4. Be able to apply TRIPOD-AI principles to improve the reporting quality of their own studies.

Webinar Recording

Webinar Participants

Gary J. Collins, MD
Orkun Baloglu, MD
Izzet Turkalp Akbasli, MD
Addison Gearhart, MD
Francesca Sperotto, MD, PhD
Anthony C. Chang, MD
Michael Satzer, MD

Credit Information

No credit is being offered for this webinar.