Evaluation of a Multi-Instant Multimodal Artificial Intelligence System Supporting Interpretive and Noninterpretive Functions.

Journal: Journal of breast imaging
Published Date: Mar 18, 2025

Abstract

OBJECTIVE: Artificial intelligence (AI) has been shown to hold promise for improving breast cancer screening, offering advanced capabilities to enhance diagnostic accuracy and efficiency. This study aimed to evaluate the impact of a multimodal multi-instant AI-based system on the diagnostic performance of radiologists in interpreting mammograms.

Authors

  • Serena Pacilè
    Therapixel SA, 39 Rue Claude Daunesse, 06560 Valbonne, France (S.P., P.C., T.B., P.F.); Radiology & Imaging Services, Hoag Memorial Hospital Presbyterian, Newport Beach, Calif (J.L.); and Department of Statistics, University of Rouen, Rouen, France (J.M.G.).
  • Pauline Germaine
    Department of Radiology, Cooper Medical School of Rowan University, Camden, NJ, USA.
  • Caroline Sclafert
    Therapixel, Nice, France.
  • Thomas Bertinotti
    Therapixel SA, 39 Rue Claude Daunesse, 06560 Valbonne, France (S.P., P.C., T.B., P.F.); Radiology & Imaging Services, Hoag Memorial Hospital Presbyterian, Newport Beach, Calif (J.L.); and Department of Statistics, University of Rouen, Rouen, France (J.M.G.).
  • Pierre Fillard
    Therapixel SA, 39 Rue Claude Daunesse, 06560 Valbonne, France (S.P., P.C., T.B., P.F.); Radiology & Imaging Services, Hoag Memorial Hospital Presbyterian, Newport Beach, Calif (J.L.); and Department of Statistics, University of Rouen, Rouen, France (J.M.G.).
  • Svati Singla Long
    Breast Imaging, SSL Imaging, Cary, NC, USA.

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