| Vox Lapidum |
Is an AI-powered inscription chatbot for research, education and cultural mediation
- Team: Prof. Dr. Anne Kolb, UZH Historisches Seminar | Charlotte Axelsson, PHZH Zentrum Digital Learning | Dr. Ursula Stohler, PHZH Zentrum Bildung und Digitaler Wandel | Marcial Koch, PHZH Zentrum Digital Learning | Dr. Johannes Graën, UZH Zentrale Informatik Science IT | Dr. Jens Bartels, UZH Historisches Seminar | Dr. Phillip B. Ströbel, UZH Historisches Seminar
|
| ADAPT |
is building an ADHD Data-driven Assessment for Phenotyping & Treatment Prediction
- Team: Lukasz Smigielski, UZH Kinder- und Jugendpsychiatrie und Psychotherapie (KJPP) | Dr. Yanick Lukic, ZHAW School of Engineering | Flavio D’Intino, ZHAW School of Engineering | Dr. Josef Schönhammer, UZH Department of Psychology
|
|
DiSpLA
|
will be the first automatic speech recognition and language analysis app built for clinical use in Swiss German.
- Team: Prof. Dr. Nathalie Giroud, UZH Department of Child and Adolescent Psychiatry (KJPP) and Department of Adult Psychiatry and Psychotherapie | Prof. Dr. Sarah Ebling, UZH Department of Computational Linguistics | Prof. Dr. Volker Dellwo, UZH Department of Computational Linguistics | Dr. Jan Deriu, ZHAW School of Engineering | Dr. Srikanth Madikeri, UZH Department of Computational Linguistics | Manuela Hürlimann, ZHAW School of Engineering | Sarah Baur, UZH Department of Child and Adolescent Psychiatry (KJPP)
|
| Child Vaccination Cards |
The project team is developing an AI-powered pipeline to digitize handwritten children’s vaccination cards into CH VACD-conformant HL7 FHIR/JSON data.
- Team: Dr. Phung Lang, UZH Epidemiology, Biostatistics and Prevention Institute | Dr. Dunja Nicca, UZH Epidemiology, Biostatistics and Prevention Institute | Dr. Yanick Lukic, ZHAW School of Engineering
|
| eFICUS |
is a digital health intervention to improve Family health and self-care capacity in Intensive Care Units:
- Team: Prof. Dr. Rahel Naef, UZH Institut für Implementation Science in Health Care, Centre for Clinical Nursing Science, University Hospital Zurich | Prof. Dr. Anna Lisa Martin-Niedecken, ZHdK Institut für Designforschung | Prof. Dr. Tobias Kowatsch, UZH Institut für Implementation Science in Health Care, School of Medicine, University of St.Gallen
|
| MERLIN |
is enabling real-time medical reasoning through multi-agent workflows
- Team:
Dr. Tilman Beck, UZH Institut für Intensivmedizin | Dr. Farhad Nooralahzadeh, ZHAW School of Engineering | Dr. med. Jan Folkard Willms, USZ Institut für Intensivmedizin
|
|
Delirium DynamiX
|
harnesses high-resolution USZ ICU data with on-prem LLMs and novel time-series Additive Bayesian Networks. This interpretable modeling of dynamic causal chains enables earlier delirium detection, targeted interventions, external validation, a co-designed dashboard, and a clinical pilot aiming at ≥20% fewer missed delirium-days.
- Team: Dr. Dr. Georg Spinner, ZHAW Life Sciences und Facility Management
| Prof. Dr. Reinhard Furrer, UZH Department of Mathematical Modeling and Machine Learning | Dr. Jan Bartussek, UZH / USZ Institut für Intensivmedizin | Prof. Dr. Anna Lisa Martin-Niedecken, ZHdK Institut für Designforschung
|
|
Adolescents coping with negative emotions induced by social media
|
is a development of social support strategies and a smartphone-based intervention.
- Team: Dr. Timon Elmer, UZH Psychologisches Institut |
Lilian Suter, ZHAW Angewandte Psychologie | Prof. Dr. Urte Scholz, UZH Psychologisches Institut | Prof. Dr. med. Claudia Witt, UZH Medizinische Fakultät
|
| SAGE |
develops a speaker Recognition across Age-Groups for Cantonal Law Enforcement Agencies.
- Team: Dr. Srikanth Madikeri, UZH Institut für Computerlinguistik | Prof. Dr. Thilo Stadelmann, ZHAW School of Engineering | Prof. Dr. Volker Dellwo, UZH Institut für Computerlinguistik
|
|
Fake or real? Exploring brain signals for deepfake voice detection
|
Neural measurements are combined with AI methods to develop more robust detection systems that also work with new generators and low-resource languages such as Swiss German. Together with the practice partner aurigin.ai, the project team explores transferring these findings to real-world applications.
- Team: Dr. Basil Preisig, UZH Linguistik Zentrum Zürich | Prof. Dr. Martin Meyer, UZH Institut für Interdisziplinäre Sprachevolutionswissenschaft | Prof. Dr. Volker Dellwo, UZH Institut für Computerlinguistik | Dr. Jan Deriu, ZHAW School of Engineering
|
