Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges.

Journal: Computers in biology and medicine
Published Date: Jun 3, 2025

Abstract

BACKGROUND: Artificial Intelligence is transforming medical imaging, particularly in the analysis of bone metastases (BM), a serious complication of advanced cancers. Machine learning and deep learning techniques offer new opportunities to improve detection, recognition, and segmentation of bone metastasis. Yet, challenges such as limited data, interpretability, and clinical validation remain.

Authors

  • Marwa Afnouch
    Laboratory of IEMN, CNRS, Centrale Lille, UMR 8520, Univ. Polytechnique Hauts-de-France, F-59313, Valenciennes, France; CES-laboratory, National Engineering School of Sfax, University of Sfax, 3038, Sfax, Tunisia. Electronic address: marwa.afnouch@enis.tn.
  • Fares Bougourzi
    IEMN UMR CNRS 8520, Université Polytechnique Hauts de France, UPHF, 59300 Famars, France.
  • Olfa Gaddour
    CES-laboratory, National Engineering School of Sfax, University of Sfax, 3038, Sfax, Tunisia. Electronic address: olfa.gaddour@enis.tn.
  • Fadi Dornaika
    University of the Basque Country, UPV/EHU, Manuel Lardizabal 1, 20018 San Sebastian, Spain; IKERBASQUE, Basque Foundation for Science, Maria Diza de Haro, 3, 48013 Bilbao, Spain. Electronic address: fadi.dornaika@ehu.es.
  • Abdelmalik Taleb Ahmed
    Laboratory of IEMN, CNRS, Centrale Lille, UMR 8520, Univ. Polytechnique Hauts-de-France, F-59313, Valenciennes, France. Electronic address: Abdelmalik.Taleb-Ahmed@uphf.fr.

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