Open AccessDifferentiate cavernous hemangioma from schwannoma with artificial intelligence (AI)
Author(s) -
Shaowei Bi,
Rongxin Chen,
Kai Zhang,
Yifan Xiang,
Ruixin Wang,
Haotian Lin,
Huasheng Yang
Publication year - 2020
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2020.03.150
Subject(s) - hemangioma , schwannoma , magnetic resonance imaging , computer science , artificial intelligence , radiology , medical diagnosis , medicine
The findings of this retrospective study show that an artificial intelligence framework can achieve high accuracy, sensitivity, and specificity in automated differential diagnosis between cavernous hemangioma and schwannoma in a real-world setting, which can help doctors determine appropriate treatments.
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