RoboH is a telemedicine system that enables physicians and patients to interact remotely through tele-robotics.
It lets doctors perform ultrasound examinations remotely, receive real-time imaging, communicate via videoconference, and experience force feedback during the procedure. The system operates through two connected robotic stations — one with the patient and one with the physician — working synchronously in real time.
By removing the need for in-person visits, it improves access to healthcare, especially for patients in remote or underserved areas.
The solution provides multimodal feedback through haptic, visual, and audio interfaces, enabling a more immersive and precise clinical experience. Data communication follows medical standards (HL7, DICOM) and is secured via VPN.
It has been successfully tested across multiple locations, demonstrating its potential for real-world deployment, including in regions with limited internet infrastructure.
Tele-Ultrasound Examination
Supports remote ultrasound assessments by letting physicians examine patients remotely with real-time imaging, communication, and force feedback.
Remote Training in Ultrasound Techniques
Serves as a remote training and supervision platform for ultrasound procedures, complementing hands-on practice that would otherwise require in-person training. Experienced clinicians can provide real-time guidance, feedback, and corrective input on probe positioning, technique, and image acquisition, enhancing learning, mentoring, and skills development.
ANIA is a technology platform designed to support the development of digital therapeutics solutions using artificial companions.
It acts as a motivational agent and mediator between patients and healthcare professionals, supporting rehabilitation processes that involve cognitive and physical stimulation.
The system is currently applied in solutions targeting individuals at risk of cognitive impairment, as well as in rehabilitation for conditions such as facial paralysis and aphasia.
User interaction
Use cases