These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
135 related articles for article (PubMed ID: 37702851)
1. The Fidelity of Artificial Intelligence to Multidisciplinary Tumor Board Recommendations for Patients with Gastric Cancer: A Retrospective Study. Park YE; Chae H J Gastrointest Cancer; 2024 Mar; 55(1):365-372. PubMed ID: 37702851 [TBL] [Abstract][Full Text] [Related]
2. Concordance Between Watson for Oncology and a Multidisciplinary Clinical Decision-Making Team for Gastric Cancer and the Prognostic Implications: Retrospective Study. Tian Y; Liu X; Wang Z; Cao S; Liu Z; Ji Q; Li Z; Sun Y; Zhou X; Wang D; Zhou Y J Med Internet Res; 2020 Feb; 22(2):e14122. PubMed ID: 32130123 [TBL] [Abstract][Full Text] [Related]
3. Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board. Somashekhar SP; Sepúlveda MJ; Puglielli S; Norden AD; Shortliffe EH; Rohit Kumar C; Rauthan A; Arun Kumar N; Patil P; Rhee K; Ramya Y Ann Oncol; 2018 Feb; 29(2):418-423. PubMed ID: 29324970 [TBL] [Abstract][Full Text] [Related]
4. Concordance Study Between IBM Watson for Oncology and Clinical Practice for Patients with Cancer in China. Zhou N; Zhang CT; Lv HY; Hao CX; Li TJ; Zhu JJ; Zhu H; Jiang M; Liu KW; Hou HL; Liu D; Li AQ; Zhang GQ; Tian ZB; Zhang XC Oncologist; 2019 Jun; 24(6):812-819. PubMed ID: 30181315 [TBL] [Abstract][Full Text] [Related]
5. Concordance between treatment recommendations provided by IBM Watson for Oncology and a multidisciplinary tumor board for breast cancer in China. Zhao X; Zhang Y; Ma X; Chen Y; Xi J; Yin X; Kang H; Guan H; Dai Z; Liu D; Zhao F; Sun C; Li Z; Zhang S Jpn J Clin Oncol; 2020 Aug; 50(8):852-858. PubMed ID: 32419014 [TBL] [Abstract][Full Text] [Related]
6. Artificial Intelligence in Decision-Making for Colorectal Cancer Treatment Strategy: An Observational Study of Implementing Watson for Oncology in a 250-Case Cohort. Aikemu B; Xue P; Hong H; Jia H; Wang C; Li S; Huang L; Ding X; Zhang H; Cai G; Lu A; Xie L; Li H; Zheng M; Sun J Front Oncol; 2020; 10():594182. PubMed ID: 33628729 [TBL] [Abstract][Full Text] [Related]
7. Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study. Liu C; Liu X; Wu F; Xie M; Feng Y; Hu C J Med Internet Res; 2018 Sep; 20(9):e11087. PubMed ID: 30257820 [TBL] [Abstract][Full Text] [Related]
8. Artificial intelligence in urologic oncology: the actual clinical practice results of IBM Watson for Oncology in South Korea. Park T; Gu P; Kim CH; Kim KT; Chung KJ; Kim TB; Jung H; Yoon SJ; Oh JK Prostate Int; 2023 Dec; 11(4):218-221. PubMed ID: 38196551 [TBL] [Abstract][Full Text] [Related]
9. Concordance Rate between Clinicians and Watson for Oncology among Patients with Advanced Gastric Cancer: Early, Real-World Experience in Korea. Choi YI; Chung JW; Kim KO; Kwon KA; Kim YJ; Park DK; Ahn SM; Park SH; Sym SJ; Shin DB; Kim YS; Sung KH; Baek JH; Lee U Can J Gastroenterol Hepatol; 2019; 2019():8072928. PubMed ID: 30854352 [TBL] [Abstract][Full Text] [Related]
10. Artificial intelligence and lung cancer treatment decision: agreement with recommendation of multidisciplinary tumor board. Kim MS; Park HY; Kho BG; Park CK; Oh IJ; Kim YC; Kim S; Yun JS; Song SY; Na KJ; Jeong JU; Yoon MS; Ahn SJ; Yoo SW; Kang SR; Kwon SY; Bom HS; Jang WY; Kim IY; Lee JE; Jeong WG; Kim YH; Lee T; Choi YD Transl Lung Cancer Res; 2020 Jun; 9(3):507-514. PubMed ID: 32676314 [TBL] [Abstract][Full Text] [Related]
11. Early experience with Watson for oncology in Korean patients with colorectal cancer. Kim EJ; Woo HS; Cho JH; Sym SJ; Baek JH; Lee WS; Kwon KA; Kim KO; Chung JW; Park DK; Kim YJ PLoS One; 2019; 14(3):e0213640. PubMed ID: 30908530 [TBL] [Abstract][Full Text] [Related]
12. Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non-small cell lung cancer patients at a lung cancer center in China. Yao S; Wang R; Qian K; Zhang Y Thorac Cancer; 2020 May; 11(5):1265-1270. PubMed ID: 32191394 [TBL] [Abstract][Full Text] [Related]
13. Assessing Concordance With Watson for Oncology, a Cognitive Computing Decision Support System for Colon Cancer Treatment in Korea. Lee WS; Ahn SM; Chung JW; Kim KO; Kwon KA; Kim Y; Sym S; Shin D; Park I; Lee U; Baek JH JCO Clin Cancer Inform; 2018 Dec; 2():1-8. PubMed ID: 30652564 [TBL] [Abstract][Full Text] [Related]
14. Early experience with Watson for Oncology: a clinical decision-support system for prostate cancer treatment recommendations. Yu SH; Kim MS; Chung HS; Hwang EC; Jung SI; Kang TW; Kwon D World J Urol; 2021 Feb; 39(2):407-413. PubMed ID: 32335733 [TBL] [Abstract][Full Text] [Related]
15. Adequacy and Effectiveness of Watson For Oncology in the Treatment of Thyroid Carcinoma. Yun HJ; Kim HJ; Kim SY; Lee YS; Lim CY; Chang HS; Park CS Front Endocrinol (Lausanne); 2021; 12():585364. PubMed ID: 33746898 [TBL] [Abstract][Full Text] [Related]
16. Analysis of Watson for oncology and clinicians' treatment recommendations for patients with breast cancer in Korea: A single center experience. Park H; Kim KE; Choi YJ; Kim H; Kim DH; Kim KY; Kim JY; Bae SH; Yoon JA; Kang T Indian J Cancer; 2023; 60(2):211-216. PubMed ID: 37530243 [TBL] [Abstract][Full Text] [Related]
17. Concordance of Treatment Recommendations for Metastatic Non-Small-Cell Lung Cancer Between Watson for Oncology System and Medical Team. You HS; Gao CX; Wang HB; Luo SS; Chen SY; Dong YL; Lyu J; Tian T Cancer Manag Res; 2020; 12():1947-1958. PubMed ID: 32214852 [TBL] [Abstract][Full Text] [Related]
18. Concordance Study Between IBM Watson for Oncology and Real Clinical Practice for Cervical Cancer Patients in China: A Retrospective Analysis. Zou FW; Tang YF; Liu CY; Ma JA; Hu CH Front Genet; 2020; 11():200. PubMed ID: 32265980 [TBL] [Abstract][Full Text] [Related]
19. Concordance in postsurgical radioactive iodine therapy recommendations between Watson for Oncology and clinical practice in patients with differentiated thyroid carcinoma. Kim M; Kim BH; Kim JM; Kim EH; Kim K; Pak K; Jeon YK; Kim SS; Park H; Kang T; Lee BJ; Kim IJ Cancer; 2019 Aug; 125(16):2803-2809. PubMed ID: 31216369 [TBL] [Abstract][Full Text] [Related]
20. [Exploration of potential beneficial people of neoadjuvant chemotherapy based on clinical staging in gastric cancer: a single center retrospective study]. Wang YK; Wang YC; Shan F; Tang L; Li ZY; Ji JF Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Feb; 23(2):152-157. PubMed ID: 32074795 [No Abstract] [Full Text] [Related] [Next] [New Search]