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Visualization of Clinical Case Similarities in Pediatric Cardiology Using Structured Case Conference Reports

  • We present a visualization and comparison tool to support the assessment of case similarities in pediatric cardiology. The web-based application allows experts to compare one reference case with two others and decide which of these is more similar to the reference or if none applies. Efficiency is enhanced by synchronous scrolling, highlighted medical terms, and section-wise comparison. The resulting expert annotations form the training data for an AI model that will automatically determine case similarities, enabling the retrieval and visualization of relevant historical cases during clinical conferences.

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Metadaten
Author:Tom Schröder, Darian LiehrORCiD, Theodor UdenORCiD, Philipp BeerbaumORCiD, Oliver J. BottORCiDGND, Christian WartenaORCiDGND, Michael MarschollekORCiD, Steffen Oeltze-JafraORCiD, Volker AhlersORCiDGND
URN:urn:nbn:de:bsz:960-opus4-39266
DOI:https://doi.org/10.25968/opus-3926
DOI original:https://doi.org/10.3233/SHTI260278
ISBN:9781643686615
ISSN:0926-9630
Parent Title (English):Opening the Personal Gate between Technology and Health Care (Studies in Health Technology and Informatics ; 336)
Publisher:IOS Press
Document Type:Other
Language:English
Year of Completion:2026
Publishing Institution:Hochschule Hannover
Release Date:2026/08/04
Tag:case conference; patient similarity; pediatric cardiology; visualization
GND Keyword:KardiologieGND; Künstliche IntelligenzGND; Information RetrievalGND; WebanwendungGND
First Page:770
Last Page:771
Institutes:Fakultät III - Medien, Information und Design
Data|H - Institute for Applied Data Science Hannover
DDC classes:610 Medizin, Gesundheit
004 Informatik
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International