EXPO

Showcase your research and innovations at the AI and Electronics for Medicine conference expo area

BECOME AN EXHIBITOR

Are you at the forefront of research or providing innovative solutions at the intersection of AI, electronics and medicine? The AI and Electronics for Medicine conference is the premier platform to showcase your work to an international audience of industry leaders, academic researchers, and healthcare professionals.

AIEFM24 Exhibitors

PROJECTS

3D HandSens

3D HandSens researchers aim to develop 3D printed, patient-specific sensory exoskeleton to digitize the measurement of hand and finger mobility in the therapy of severe hand injuries or after hand surgery.

BrainAce

BrainAce researchers aim for intraoperative endoscopic brain tumor diagnosis, to eliminate the current time delay between stereotactic biopsies and diagnosis and to improve intervention results. They develop a miniaturized endoscope for auto fluorescence microscopy based on computational optics, which fits into biopsy needles.

EndoSmart

EndoSmart researchers want to shape the future of endoscopy. Their innovations include radar endoscopy for non-contact tissue visualization, intelligent sedation methods, and advanced AI for improved diagnosis and treatment. Additionally, they focus on teaching with new simulator- and software-based methods.

iSpine

iSpine researchers aim to realize an in-operando determination of the loads acting on spinal implants and their analysis for diagnostic purposes. Thus, monitoring of the healing process and the therapeutic strategy as well as the quality of treatment should be significantly improved.

PitchPins

PitchPins researchers aim to establish a proofof concept for the development of a next generation textile-based multi-electrode array with up to 100 conductive electrodes as part of an innovative cochlear implant (CI). For this purpose, conjugated filaments are to be woven in a melt spinning process using the island-in-the-sea geometry.

ReMoTe CarE

ReMoTe CarE researchers aim to reduce risks after heart surgery by developing resorbable molybdenum cardiac electrodes. These new electrodes remain in the body after surgery and dissolve over time. This could significantly reduce the risk of complications such as infection and dislocation.

veiioSense

veiioSense researchers are developing a robust sensor system which digitizes the physiotherapeutic skill in order to guide patients into the right movement through vibrotactile feedback and evaluate its assistance for hands-off training on the three most demanding clinical use cases.

VRAD

A virtual reality experience of a special kind: VRAD researchers created a virtual and mixed reality scenario where attendees will be able to face their fear of heights or spiders. It focuses on the rapid creation of customized VR scenarios, shared virtual experiences with therapists and natural two-way communication during therapy.

PROJECTS

New data transmission technology for CT

This project enables new computer tomography scanner generations by replacing traditional data transmission with a dedicated wireless solution.

RealTime Network

for a patient-centered data and communication. The project team aims to further develop a smart patient bell that integrates real-time patient data into a healthcare platform.

HybridEcho

Microelectronic hybrid systems for ultrasound: The project team aims to overcome the current hardware limitations in ultrasound to enable the translation of innovative waveforms and algorithms from communications engineering to ultrasound imaging.

MicroFlow

Mobile measurement of microperfusion: The aim of the MikroFlow project is to develop a compact and portable measuring system for diagnosing microcirculatory disorders and for the early detection of warning signals for functional disorders that can be used in various medical fields and connected to the clinical infrastructure.

Intelligent patient positioning in precision oncology

The researchers aim to introduce wireless positioning aids based on photogrammetric and AI-based techniques in the field of radiotherapy in order to increase efficiency and precision of patient positioning, and to monitor positioning changes during the course of a treatment session.

Secure and trustworthy system architectures

The aim is to develop a secure and trustworthy platform for medical use cases. The entire processing chain is to be mapped: starting with the collection of medical data by sensors, through its (cloud-based) processing and the resulting control of medical devices and considering of certification requirements for medical devices.

Trustworthy communication

This project provides a reliable and trustworthy communication platform for use in the clinical environment and in remote monitoring.

Economic transfer and science communication

The aim of the project is to transfer the innovations of the SEMECO research groups into economic and social practice. This includes the development and implementation of transfer and start-up-promoting formats by players from universities, industry and network organisations.