Cancer Prediction With Machine Learning of Thrombi From Thrombectomy in Stroke: Multicenter Development and Validation.
Joon Nyung HeoHyung Woo LeeYoung SeogSungeun KimJang Hyun BaekHyung Jong ParkKwon-Duk SeoGyu Sik KimHan-Jin ChoMinyoul BaikJoonsang YooJinkwon KimJun LeeYoon-Kyung ChangTae-Jin SongJung Hwa SeoSeong Hwan AhnHeow Won LeeIl KwonEunjeong ParkByung Moon KimDong Joon KimYoung Dae KimHyo Suk NamPublished in: Stroke (2023)
Machine learning models may be used for prediction of cancer as the underlying cause or detection of occult cancer, using platelet-stained immunohistochemical slide images of thrombi obtained during endovascular thrombectomy.