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Application of artificial intelligence algorithms in bone tumors: A systematic review of the last 5 years

Year: 2025

Type: conference-paper

Abstract: Objectives and questions: Artificial intelligence (AI) techniques, particularly classical machine learning (ML) and deep learning (DL), have been increasingly applied to bone tumor research. These methods hold great promise to become a support tool for improving diagnostic accuracy, predicting survival, [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25dkou005

Authors: Qiao, Yu, Eisfeld, Carolin, von Eisenhart-Rothe, Rüdiger, Hinterwimmer, Florian

Institutions: TUM Klinikum, Technical University of Munich

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103156749

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