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
A Think-and-Do-Tank for Responsible Development and Societal Alignment of Artificial Intelligence Systems Swiss Centre for Responsible AI (SCRAI) brings responsible AI to the ground by bridging the gap between societal values and development of AI technology and solutions. The Think-and-Do Tank will help organizations to exploit the potential of AI… Read More »Swiss Centre for Responsible AI (SCRAI)
Strengthening the AI generation: Promoting digital self-protection for teenagers and young adults Despite data protection concerns, many young people carelessly share personal data online, which is known as the data protection paradox. The project aims to resolve the data protection paradox by activating personal involvement. Teaching materials are being developed… Read More »AI-Strong
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 29'500 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 75'000 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
https://youtu.be/fd0S7754TU4 The Next Gen AI School is an interactive learning tool for young people aged between 12 and 16. Its aim is to promote skills in dealing with artificial intelligence (AI) and thus digital resilience. Digital resilience describes the ability to act confidently, reflectively and critically in the digital space… Read More »Digital resilience: tool for AI and deepfake skills among young people
The new fög-study was published on September 23, 2025. It shows that AI is already widely used in Swiss journalism. 87% of the media professionals surveyed use AI tools, primarily for support tasks such as transcription or text optimization. However, opinions on the impact on quality are mixed. In addition,… Read More »AI literacy in Swiss journalism – How to strengthen the digital resilience of journalism and audiences
The project aims to develop an automated monitoring tool that makes comparative trend analyses of public debates in the education sector accessible to stakeholders and thus enables more differentiated debates. The aim is to contribute to greater transparency in education policy discourse, developments and decisions. Core team Prof. Dr. Barbara… Read More »Educational Policy Transparency Interface
The project aims to promote digital literacy in an academic context with the inclusion of artificial intelligence (AI). It supports students and teaching staff in developing skills in the use of digital tools and AI technologies for academic work and writing. Core team Dr. Christian Rapp, ZHAW School of Management and… Read More »Technological support for scientific work, writing and thinking in the age of AI: conceptualization, technology integration and didactics
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