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Deep learning bone tumor entity classification model collapses under real-world distribution shifts

Year: 2025

Type: conference-paper

Abstract: Objectives and questions: Artificial intelligence (AI) models have demonstrated significant potential in classifying bone tumors. However, their clinical adoption remains limited due to poor generalizability across different healthcare centers. This study aims to assess the impact of training AI models [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25dkou245

Authors: Curto Vilalta, Anna, del Val Guardiola, Ines, von Eisenhart-Rothe, Rüdiger, Consalvo, Sarah, Rueckert, Daniel, Hardes, Jendrik, Hinterwimmer, Florian

Institutions: TUM Klinikum, Technical University of Munich

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103145948

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