UWL Centre for Translational Healthcare Research
How EchoLearn Works Clinical Evaluation Collaborate
EchoLearn is an AI-assisted echocardiography training platform designed to support image acquisition through structured feedback. Developed by the Intelligent Sensing and Vision Group at the THRIVE Centre, University of West London, it builds on research from the UNITY: UK Collaborative for Integrating AI into Echocardiography programme, supported by the British Heart Foundation.
The platform is being developed for learners, sonographers, educators, and clinical teams. Its focus is training and supervised practice, not diagnosis or automated clinical decision-making.
Acquiring useful echocardiographic views takes practice. Probe position, orientation, and each patient’s anatomy all affect the resulting image. Learners traditionally build these skills through repeated scanning and close supervision.
With increasing demand on clinical services, it can be difficult to provide every learner with consistent, timely feedback. EchoLearn explores how AI-assisted image assessment can help learners and supervisors recognise image quality and discuss possible adjustments during practice.
The platform is designed to support a straightforward learning cycle:
The interface screenshot will be added here when available.
EchoLearn combines AI-based image assessment with echocardiography acquisition and operator feedback. Its capabilities are progressing through research, evaluation, and development:
A Phase 1 evaluation began in August 2026 in an echocardiography training setting at Hammersmith Hospital. Medical students take part in supervised scanning sessions. The evaluation is exploring usability, how learners respond to feedback, and whether real-time guidance helps novice operators acquire better images.
A later controlled evaluation is intended to assess acquisition quality, acquisition time, reproducibility, and downstream measurements. Results have not yet been reported, and improved clinical performance has not yet been demonstrated.
EchoLearn sits within THRIVE and UNITY’s wider echocardiography research environment. Related resources include:
Together, these projects connect AI research, data and annotation resources, and a live acquisition environment for prospective training evaluation.
We welcome conversations with echocardiography educators, NHS training programmes, and researchers interested in image quality, operator guidance, and independent evaluation.
Contact Massoud Zolgharni or [email protected] to discuss collaboration.
EchoLearn is a research platform. It does not provide diagnostic interpretation or automated clinical decision-making. Any use in clinical care requires appropriate evaluation and validation.