Artificial intelligence applications in upper gastrointestinal cancers - Authors' reply

Affiliations

¹ Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
² Artificial Intelligence Laboratory, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
³ Department of Endoscopy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
⁴ Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China. Electronic address: xurh@sysucc.org.cn.

Comment

Huiyan Luo et al. Lancet Oncol. 2020 Jan.

. 2020 Jan;21(1):e5.

doi: 10.1016/S1470-2045(19)30809-5.

¹ Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
² Artificial Intelligence Laboratory, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
³ Department of Endoscopy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
⁴ Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China. Electronic address: xurh@sysucc.org.cn.

No abstract available

Comment on

Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study.
Luo H, Xu G, Li C, He L, Luo L, Wang Z, Jing B, Deng Y, Jin Y, Li Y, Li B, Tan W, He C, Seeruttun SR, Wu Q, Huang J, Huang DW, Chen B, Lin SB, Chen QM, Yuan CM, Chen HX, Pu HY, Zhou F, He Y, Xu RH. Luo H, et al. Lancet Oncol. 2019 Dec;20(12):1645-1654. doi: 10.1016/S1470-2045(19)30637-0. Epub 2019 Oct 4. Lancet Oncol. 2019. PMID: 31591062 Clinical Trial.
Artificial intelligence applications in upper gastrointestinal cancers.
Li J, Li P, Niu W. Li J, et al. Lancet Oncol. 2020 Jan;21(1):e4. doi: 10.1016/S1470-2045(19)30721-1. Lancet Oncol. 2020. PMID: 31908305 No abstract available.