Sonified Neurological EEG Events Monitoring Due to its noninvasive and safe characteristics, continuous electroencephalography (cEEG) is used for the continuous long-term monitoring of cerebral activity in critically ill patients. To date, cEEG is mostly monitored and analyzed visually, requiring extensive expertise and time. Sonification – the use of sound to… Read More »SonNEEM
Radiology AI-Driven Clinical Decision-Making with Multi-Modal Exploration The rapid digital transformation in healthcare has surged data volume and variety, overwhelming clinicians. Much of this data is unstructured, making it hard to explore. Radiology, a key diagnostic field, faces fragmented records. We propose RADICAL, an AI tool streamlining workflows with natural… Read More »RADICAL
Using data mining to track antibiotic resistance for travelers to the global South The goal of the project is to strengthen surveillance of antimicrobial resistance in animals, and food products, with a focus on international travelers. The project team will explore (and quantify the uncertainty of) using text mining, and… Read More »Digitalizing the fight against superbugs
Immersive Education and Science Exploration IMMERSE is committed to the digital transformation of education and training through immersive teaching and learning technologies. With a network of innovative partners from the education and technology sectors, structures and formats are being created to ensure the widespread implementation of XR- and AI-based methods… Read More »IMMERSE
Project state closed Project start September 2024 Funding duration 6 months Universities involved UZH Practice partners URPP Dynamics of Healthy Aging Funding amount DIZH CHF 29’091 A growing body of research in psychology and sociology has shown that profound dissatisfaction with body image is an increasingly pressing problem among young… Read More »UnRealBody: Inoculating Young People Against Harm from Unrealistic AI-Based Body Images
Project state closed Project start September 2024 Funding duration 12 months Universities involved UZH Practice partners Universitätsspital Zürich Funding amount DIZH CHF 75’014 TRUST-RAD develops AI tools for radiology that are not only powerful, but also reliable and transparent. A key achievement is RadVLM, a new AI model for chest… Read More »TRUST-RAD: Trustworthy Medical AI Assistant Tools for Radiology
Towards Personalized Treatment Decisions with Digital Twins The InnoTreat: Towards Personalized Treatment Decisions with Digital Twins project aims to improve the accuracy of clinical diagnosis and treatment decisions for shoulder pathologies. By integrating patient-specific anatomy into biomechanical simulations, the project aims to provide insight into the underlying mechanisms of shoulder… Read More »InnoTreat
In an ICU, time-efficient retrieval, precise understanding, and following Standard Operating Procedures (SOPs) are critical for ensuring optimal treatment and patient safety. To address this, we develop a multi-lingual, user-tailored, and AI-powered dialogue system over SOP documents which is seamlessly integrated with medical semantic taxonomies. Core team Dr. Ahmad Aghaebrahimian,… Read More »Advancing Information Accessibility in Hospitals Employing Large Language Models
Bridging Orthopedics through Digital Mirroring MedTwins Agil.IT will leverage cloud services to create a Trusted Research Environment connecting the hospital IT system with scalable IT resources. This agile environment will pave the way for cloud usage in the R&D process of clinical AI and accelerate the translation of digital technology… Read More »MedTwins Agil.IT
The ConCLAS project pioneers deep-learning analysis of high-density EEG data, combining it with real-time closed-loop auditory brain stimulation. The resulting enabling technology enhances non-invasive brain interventions developed by Tosoo AG and TI Solutions AG, and advances clinical diagnostics and therapeutic interventions. Core team Dr. Samuel Wehrli, ZHAW Life Sciences und Facility… Read More »ConCLAS