Leveraging large language models to unlock and synthesize the expanding volume of medical research The overwhelming volume of published research hampers evidence-based medicine. The project team aims to develop MedLitGrasp, an online tool for researchers and clinicians, that uses large language models to automatically synthesize large volumes of biomarker data… Read More »MedLitGrasp
A Web-Based Cognitive Health Platform COPE-D develops the first web-based health platform for cognition that Standardizes and streamlines assessments for neuropsychologists. Empowers patients by providing access to their data. Additional patient education material is personalized and adapted to their cognitive deficit, promoting understanding and engagement in rehabilitation. COPE-D improves quality… Read More »COPE-D: COgnition and Patient Education – Digitalized
Sonified Neurological EEG Events Monitoring The project SonNEEM develops innovative solutions for more effective EEG monitoring and decision making in Intensive Care Units (ICU). The project team leverages machine learning, user centered data sonification and auditory display design, tailored to the challenges of ICU settings, with a focus on detection… 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
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
A growing body of research in psychology and sociology has shown that profound dissatisfaction with body image is an increasingly pressing problem among young people, partly due to media exposure, which is expected to worsen with AI-generated idealised bodies. In UnRealBody, we will develop an intervention to inoculate young people… Read More »UnRealBody: Inoculating Young People Against Harm from Unrealistic AI-Based Body Images
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