Specialized tools are needed when searching the web for rare disease diagnoses
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Updated: Apr 27, 2026

Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging
Published on: December 8, 2023
Radu Dragusin1, Paula Petcu2, Christina Lioma1
1DTU Compute; Technical University of Denmark; Lyngby, Denmark ; Department of Computer Science; University of Copenhagen; Copenhagen, Denmark.
Abstract:
In our recent paper, we study web search as an aid in the process of diagnosing rare diseases. To answer the question of how well Google Search and PubMed perform, we created an evaluation framework with 56 diagnostic cases and made our own specialized search engine, FindZebra (findzebra.com). FindZebra uses a set of publicly available curated sources on rare diseases and an open-source information retrieval system, Indri. Our evaluation and the feedback received after the publication of our paper both show that FindZebra outperforms Google Search and PubMed. In this paper, we summarize the original findings and the response to FindZebra, discuss why Google Search is not designed for specialized tasks and outline some of the current trends in using web resources and social media for medical diagnosis.
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