AI-generated synthetic data for cancer research and clinical trials
HybridEcho publishes a review article and a clinical study
While one article provides a technology-oriented review of ultra-compact wearable systems, the other presents a multicenter clinical study evaluating the image quality of established handheld devices in routine practice.

Current Trends in Ultrasound Wearables: Spotlight on System Architecture
In a review article published in IEEE Reviews in Biomedical Engineering, the team provides a structured analysis of the rapidly developing field of ultrasound wearables. These systems are increasingly explored for applications in the fields of medicine, lifestyle and human-machine interfaces. se cases range from monitoring clinical parameters to prosthetics and robotic systems as well as rehabilitation interventions.
Rather than focusing on individual technologies, the authors examine complete system architectures and current market requirements. They identify recurring design principles and argue that modular, scalable, and reusable platform concepts could help accelerate device development. Moving from application-driven solutions toward more systematic development pathways has the potential to facilitate faster translation from the initial prototype into real-world applications.
David Weik, Richard Nauber et al., Current Trends in Ultrasound Wearables: Spotlight on System Architecture, IEEE Reviews in Biomedical Engineering, 2026. doi: 10.1109/RBME.2026.3664011
Objective Criteria to Assess Image Quality in Handheld Ultrasound Devices
In contrast to the technology-focused review, a second publication publication in Ultraschall in der Medizin – Europaen Journal of Ultrasound reports the results of a blinded, multicenter clinical study comparing the image quality of five established handheld ultrasound devices with a high-end reference system. More than 20 experienced physicians from hospitals across Germany evaluated ultrasound video sequences acquired with different devices and patient cases.
The findings reveal significant differences in image quality between handheld systems, with only one device approaching the performance level of the reference system. Notably, familiarity with a specific device influenced image quality ratings more strongly than overall clinical experience. The authors conclude that standardized, objective image quality parameters are needed to guide future device development and to enable more transparent, evidence-based selection of devices in clinical settings.
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