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

Check out the article here: www.lrt.lt/naujienos...

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As for the impact of this work? “The federal AI model we have created will allow doctors to identify individual patient risks early,... more accurately predict dangerous conditions,...and ensure fast and objective decision-making in real time,” explains KTU’s Vaidotas Marozas.

You can read more about the abstracts here: cvdlink-project.eu/u...

#EMBC2025 #CVDLINK #Research #ArtificialIntelligence #HealthTech #InterdisciplinaryResearch #Networking

Topics presented:

• P-Wave Spatial Variability in 12-Lead ECG Predicts Temporal Changes in Atrial Fibrillation

• Estimating Ejection Fraction from Single View Echocardiographic Images