Some highlights:
🔷 Sessions on recent advancements in diagnosis and management of #CVDs
🔷 Discussions about the role of imaging #data and physiological signals in prediction models to improve personalized care
🔷 Focus on the role of #AI and emerging digital technologies in transforming #CVD care

Clinicians shared both optimism and caution: strong potential for #AI, but persistent barriers like #data fragmentation, time pressure, and limited #digital training. Respondents indicated that tools must be useful, trusted, and easy to integrate into daily workflows.
#CVDSky #DigitalHealth #MedTech

🔗 pubmed.ncbi.nlm.nih.gov/39507385/

#AI #medtech #CVD #CVDsky #SCD #machinelearning

The study analysed data from 8k patients treated for acute coronary syndrome, using computer-interpreted ECG and #machinelearning to explore long-term risk of sudden cardiac death. Findings highlight the potential of using existing ECG tools to support early intervention for patients at risk of SCD.

#CVD #CVDsky #Cardiology #research #AI #data #AF #SCD #medtech