Outcome prediction using artificial intelligence and meta-analysis

Facilitators: D. Kettles, T. Cahill

Speakers: D. Garin, T. Theodoropoulou, J. Dargan

Summary

This session presents outcome prediction advancements through artificial intelligence and meta-analysis in cardiology. Topics include AI-guided aortic stenosis risk stratification, predictors of periprocedural stroke after TAVI, patient-specific computer simulations for bicuspid TAVI, and enhancements in large language model accuracy using Heart Team simulation.

Presentations available when logged in:

AI-guided aortic stenosis risk stratification using a guideline-integrated large language model
Predictors of periprocedural stroke after TAVI: a systematic review and meta-analysis
Prospective patient specific computer simulation in bicuspid TAVI, a single centre experience
Improving large language models accuracy via Heart Team simulation: a prompt design analysis

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Outcome prediction using artificial intelligence and meta-analysis

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