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Machine Learning for Clinical Pathway Decision Support in Suspected Bone Lesions on Radiographs

Year: 2025

Type: conference-paper

Abstract: Introduction: Incidental findings occur in up to 20% of conventional radiographs [ref:1]. The complex morphology of bone tumors, inflammatory changes, normal variants, or metastases can lead to unnecessary diagnostic escalation (MRI, contrast-enhanced imaging, scintigraphy) [ref:2]. [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds095

Authors: Bockhacker, Markus, Erdelt, Patrick, Röhl, Henning

Institutions: Berliner Hochschule für Technik, Unfallkrankenhaus Berlin

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: W7103891930

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