A comprehensive deep-learning model for interpreting chest x-rays

Affiliations

¹ Tohoku University Graduate School of Medicine, Aoba-ku, Sendai, Miyagi 980-8573, Japan. Electronic address: kengo.takahashi.p5@dc.tohoku.ac.jp.
² Takeda General Hospital, Aizuwakamatu, Fukushima, Japan.

Free article

Comment

Kengo Takahashi et al. Lancet Digit Health. 2022 Jan.

Free article

. 2022 Jan;4(1):e6.

doi: 10.1016/S2589-7500(21)00255-7.

¹ Tohoku University Graduate School of Medicine, Aoba-ku, Sendai, Miyagi 980-8573, Japan. Electronic address: kengo.takahashi.p5@dc.tohoku.ac.jp.
² Takeda General Hospital, Aizuwakamatu, Fukushima, Japan.

No abstract available

Conflict of interest statement

We declare no competing interests.

Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.
Seah JCY, Tang CHM, Buchlak QD, Holt XG, Wardman JB, Aimoldin A, Esmaili N, Ahmad H, Pham H, Lambert JF, Hachey B, Hogg SJF, Johnston BP, Bennett C, Oakden-Rayner L, Brotchie P, Jones CM. Seah JCY, et al. Lancet Digit Health. 2021 Aug;3(8):e496-e506. doi: 10.1016/S2589-7500(21)00106-0. Epub 2021 Jul 1. Lancet Digit Health. 2021. PMID: 34219054