Tschandl Lab

University of Medicine Vienna

Ostösterreich (AT1) · Austria

ERC-funded
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ERC Starting Grant · 2025

Automating knowledge extraction from large dermatopathological datasets to establish objective and interpretable diagnostic frameworks

The continuous and overwhelming increase in the amount of data in health and science, including image collections, textbooks and scientific literature, renders it difficult to meaningfully understand, validate and query the available body of knowledge. Modern developments in artificial intelligence hold promise to solve these shortcomings by enabling the collection, understanding, curation, use of, as well as interaction with, large bodies of data. The goal of this project is to make this case in the explicit context of a highly specialized scientific field, dermatopathology, which is in charge of obtaining reliable diagnoses of skin diseases. We aspire to improve understanding in four…

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