Applying AI-assisted heart analysis in clinical settings | AI-driven cardiac ultrasound analysis Project | Results in Brief | HORIZON | CORDIS
https://cordis.europa.eu/article/id/465678-applying-ai-assisted-heart-analysis-in-clinical-settings
Publish Date: 2026-06-05 17:59:00
Source Domain: cordis.europa.eu
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AI in Cardiovascular Practices: Artificial intelligence technologies are being integrated into existing cardiovascular clinical practices to save time, resources, and ultimately lives.
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Challenges in Echocardiography: Echocardiography, a critical tool for diagnosing heart conditions, is hindered by variability, human error, and dependence on specialist expertise; it also faces challenges in terms of access and increasing workload due to aging populations and lack of medical professionals.
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Project Objectives and Expertise: The AI-driven cardiac ultrasound analysis project, funded by the European Innovation Council and led by Ligence, aimed to improve the speed, consistency, accessibility, and quality of heart ultrasound analysis by combining expertise from AI, software engineering, cardiology, and regulatory affairs.
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Software Platform Development: The project focused on enhancing the usability, speed, interoperability, and reliability of the software platform to be effective in clinical environments, working closely with clinicians to address real-world clinical needs.
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Clinical Evaluation and Regulatory Compliance: Innovations underwent continuous AI performance validation and clinical evaluations using real-world echocardiography data to ensure reliable results. The project also addressed regulatory compliance to allow safe deployment in healthcare environments.
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AI Integration in Clinical Workflows: Successful AI solutions in healthcare must integrate smoothly into hospital workflows, save clinicians time, and build user trust. Regulatory certification ensures the technology meets stringent medical device requirements.
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Future Goals and Broader Adoption: The goal is to expand the AI platform internationally, ensuring its continued use and refinement based on real-world applications. The aim is to make high-quality cardiac ultrasound analysis more accessible, efficient, and consistent for both patients and healthcare professionals.
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Potential Benefits: AI-driven technologies could reduce waiting times, improve diagnostic quality, enable earlier detection of cardiovascular diseases, and support more sustainable healthcare systems.
