Automated Detection of Steno-Occlusive Lesion on Time-of-Flight MR Angiography: An Observer Performance Study.

Hunjong LimDongjun ChoiLeonard Sunwoo Jae-Hyeop Jung Sung Hyun Baik Se Jin Cho Jinhee JangTackeun KimKyong Joon Lee

Published in: AJNR. American journal of neuroradiology (2024)

Our proposed AI model offers a supportive tool for radiologists, potentially enhancing the accuracy of detecting intracranial steno-occlusion lesions on TOF-MRA. Less experienced readers may benefit the most from this model.

Keyphrases

artificial intelligence
contrast enhanced
machine learning
mass spectrometry
optical coherence tomography
ms ms
magnetic resonance
magnetic resonance imaging
sickle cell disease
real time pcr
single cell
optic nerve