Upon completion of this activity, participants will be able to: 1. Recognize how artificial intelligence can enhance the accuracy and efficiency of quantitative CT assessments for detecting atherosclerosis and quantifying coronary artery disease (CAD). 2. Correlate quantitative CT findings, including plaque characteristics and volumes, to the risk of major adverse cardiovascular events, thereby improving risk stratification and management. 3. Discuss the significance of multi-center, international efforts in validating AI algorithms and enhancing the generalizability of findings across diverse populations.
- Provider:Society for Cardiovascular Angiography and Interventions, The
- Activity Link: https://scaipro.scai.org/URL/CONFIRM-2
- Start Date: 2025-01-09 06:00:00
- End Date: 2025-01-09 06:00:00
- Credit Details: AMA PRA Category 1 Credit™️: 0.5 hours
- MOC Credit Details: ABIM - 0.5 Point; Credit Type(s): Medical Knowledge (ABIM)
- Commercial Support: Source: Cleerly - Amount: 0 - Is Kind Support: False
- Activity Type: Enduring Material
- CME Finder Type: Online Learning
- Fee to Participate: No, it's free
- Measured Outcome: Learner Competence
- Provider Ship: Directly Provided
- Registration: Open to all
- Specialty: Interventional Cardiology
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