Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board

By S. Somashekhar, M. Sepúlveda, S. Puglielli, A. Norden, Edward H. Shortliffe, C. Kumar, A. Rauthan, N. Kumar, P. Patil, Kyu-Sik Rhee and 1 more. Annals of Oncology, 2018

297 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Health Informatics

View Paper: https://www.semanticscholar.org/paper/d38ce874f362326358f692d93ae8874c19ad2471

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zeeshan Ahmed
2. William R. Hersh
3. Khalid Mohamed
4. Xinqi Dong
5. Saman Zeeshan
6. Rodney Hull
7. F. Francies
8. Zodwa Dlamini

In Health Informatics

1. Zeeshan Ahmed
2. Khalid Mohamed
3. Xinqi Dong
4. Saman Zeeshan

Citations in the corpus

• Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine (2020, background): “radiology (71) (early diagnosis, enhance visualization of pathologies and predicting emergency situations (64,73,71)), oncology (diagnosis of breast (75), skin (76), lung cancer (77)), cardiology (interpreting electrocardiogram readings, echocardiography with 3D cardiac imaging, cardiac CT angiograp”
• Information Retrieval: A Biomedical and Health Perspective (2020, background): “In another study of a different COX-2 inhibitor [267], three patients suffering myocardial infarctions were excluded from the study despite the authors knowing about them, and their inclusion would have changed the conclusion of the paper to the agent being harmful [268].”
• Artificial intelligence in retina. (2018, unknown): “%) and patient's age (Somashekhar et al., 2018).”
• Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach (2019, methodology): “IBM Watson, which has been recently applied to breast cancer therapy [7].”
• Artificial intelligence (AI) and big data in cancer and precision oncology (2020, background): “Despite some contra-dictory reports, the Watson for Oncology platform has been successfully used to determine treatment regime for breast [91], gastric [92] and non-small-cell lung cancer [93].”