Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update.

Journal: Radiology. Artificial intelligence
Published Date: Jul 1, 2024

Abstract

To address the rapid evolution of artificial intelligence in medical imaging, the authors present the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) 2024 Update.

Authors

  • Ali S Tejani
  • Michail E Klontzas
    Department of Medical Imaging, Heraklion University Hospital, Crete, 70110, Greece; Advanced Hybrid Imaging Systems, Institute of Computer Science, Foundation for Research and Technology (FORTH), N. Plastira 100, Vassilika Vouton 70013, Heraklion, Crete, Greece. Electronic address: miklontzas@ics.forth.gr.
  • Anthony A Gatti
    McMaster University and NeuralSeg, Hamilton, Ontario, Canada.
  • John T Mongan
  • Linda Moy
    1 Department of Radiology, New York University School of Medicine, 160 E 34th St, New York, NY 10016.
  • Seong Ho Park
    From the Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea (S.H.P.); and Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea (K.H.).
  • Charles E Kahn
    Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA.

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