Prognostic value of AI-enabled quantitative coronary CT angiography for major adverse cardiovascular events: A systematic review and meta-analysis

Mushrin Malik, Pedro Batista, Larissa Araújo de Lucena, Marcela Vasconcelos Montenegro, Railla Raquel Albino Santos Silva, Caroline O Fischer-Bacca, Juliana Giorgi, Jordan Strom · 2026

Read Prognostic value of AI-enabled quantitative coronary CT angiography for major adverse cardiovascular events: A systematic review and meta-analysis by Mushrin Malik, Pedro Batista, Larissa Araújo de Lucena, Marcela Vasconcelos Montenegro, Railla Raquel Albino Santos Silva, Caroline O Fischer-Bacca, Juliana Giorgi, Jordan Strom (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13266024.txt.

Description

Mushrin Malik and colleagues pool evidence on AI-read heart artery scans for predicting major cardiac events, in a 2026 meta-analysis. Automated plaque measurement promises consistency beyond simple narrowing grades. Ten studies covering about twenty thousand patients were included. Searches ran through October 2025.

Plaque burden measured by AI predicted major events with roughly doubled risk. Soft, low-density plaque showed the strongest link. Event rates for death, heart attack, and repeat procedures were pooled across cohorts. Results held when restricted to one AI platform. The authors argue plaque character adds prognostic value beyond stenosis severity alone.

Catalog record

CREATORMushrin Malik, Pedro Batista, Larissa Araújo de Lucena, Marcela Vasconcelos Montenegro, Railla Raquel Albino Santos Silva, Caroline O Fischer-Bacca, Juliana Giorgi, Jordan Strom
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE33 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13266024

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