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Advancing Information Accessibility in Hospitals Employing Large Language Models

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, ZHAW School of Life Sciences and Facility Management

Prof. Dr. med. Reto Schüpbach, USZ Institute of Intensive Care Medicine

Dr. Morteza Rohanian, UZH Department of Quantitative  Biomedicine

Prof. Dr. Michael Krauthammer, UZH Department of Quantitative Biomedizin

Dr. Manuel Gil, ZHAW School of Life Sciences and Facility Management

Practice partner

DeepMed Zurich GmbH

Running time: 2024-2027