Interactive Guidance for Self-Acquisition of Ultrasound Images by Hemophilic Patients

Timely diagnosis of joint bleeds is crucial for preventing long-term damage in patients with hemophilia. However, access to specialized care and the operator-dependent nature of ultrasound imaging pose significant challenges for remote monitoring. We present GAJA (Guided self-Acquisition of Joint ultrAsound images), a mobile system that interactively guides patients during the acquisition of joint ultrasound images without requiring real-time supervision. The version of GAJA presented in this paper extends support beyond the knee to include elbow and ankle joints and integrates with the CADET platform, enabling clinicians to remotely assess the acquired images. In this demo, we showcase GAJA’s real-time guidance interaction and its integration with remote clinical workflows.