A comparative study of Watson for Oncology and tumor boards in breast cancer treatment
Dohoon Kim, Yun Young Kim, Joon-Hyop Lee, Yoo Seung Chung, Sangtae Choi, Jin Mo Kang, Heung Kyu Park, Yong Soon Chun
Korean J Clin Oncol. 2019;15(1):3-6. Published online 2019 Jun 30 DOI: https://doi.org/10.14216/kjco.19002
Citations to this article as recorded by 
Augmentation of a multidisciplinary team meeting with a clinical decision support system to triage breast cancer patients in the United Kingdom
Martha Martin, Hartmut Kristeleit, Danny Ruta, Christina Karampera, Rezzan Hekmat, Winnie Felix, Bertha InHout, Ashutosh Kothari, Majid Kazmi, Lesedi Ledwaba-Chapman, Amanda Clery, Yanzhong Wang, Bola Coker, Anita M Preininger, Roy Vergis, Thomas Eggebraa
Future Medicine AI.2023;[Epub] CrossRef
Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries
Srinivas Emani, Angela Rui, Hermano Alexandre Lima Rocha, Rubina F Rizvi, Sergio Ferreira Juaçaba, Gretchen Purcell Jackson, David W Bates
JMIR Cancer.2022; 8(2): e31461. CrossRef
Concordance as evidence in the Watson for Oncology decision-support system
Aaro Tupasela, Ezio Di Nucci
AI & SOCIETY.2020; 35(4): 811. CrossRef