This single-centre retrospective study aimed to evaluate a deep learning (DL) algorithm for detecting vessel steno-occlusions in peripheral arterial disease patients (PAD). The authors’ findings suggest that the proposed DL model is promising and an effective tool to assist in the detection of arterial steno-occlusions in PAD patients.

Key points:

  • This study focused on the application of DL for arterial steno-occlusion detection in lower extremities on MRA.
  • A previously developed DL model was tested for accuracy and inter-reader agreement.
  • While the model showed promising results, it does not yet replace human expertise in detecting arterial steno-occlusion on MRA.

Article: Detection of femoropopliteal arterial steno-occlusion at MR angiography: initial experience with artificial intelligence

Authors: Tri-Thien Nguyen, Lukas Folle & Thomas Bayer

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