ArticleTranslational cancer research2019
Concordance assessment of Watson for Oncology in breast cancer chemotherapy: first China experience.
Article in Translational cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Leveraging artificial intelligence to support surgical oncology multidisciplinary team decision-making: a systematic review.Frontiers in artificial intelligence · 2026Pooled it
- Alignment Between Treatment Decision and Treatment Administration for Squamous Cell Carcinoma of the Upper Aerodigestive Tract Before, During, and After the COVID-19 Pandemic: A Retrospective Analysis.Journal of clinical medicine · 2025Article
- Use and accuracy of decision support systems using artificial intelligence for tumor diseases: a systematic review and meta-analysis.Frontiers in oncology · 2023Review
- A randomised trial: effects of different anesthesia methods on early perioperative pain sensitivity and cellular immune function in patients undergoing radical mastectomy.Gland surgery · 2021Article
- Artificial Intelligence-Driven Oncology Clinical Decision Support System for Multidisciplinary Teams.Sensors (Basel, Switzerland) · 2020Article
- Differential impact of cognitive computing augmented by real world evidence on novice and expert oncologists.Cancer medicine · 2019Article
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIBM Watson for Oncology (WFO) is an artificial intelligence cognitive computing system that provides confidence-ranked, evidence-based treatment recommendations for cancer. We examine the level of agreement for breast cancer chemotherapy between WFO recommended and clinical use in a large population of breast cancer cases.
methodsA total of 1,301 breast cancer patients were reviewed in The First Affiliated Hospital with Nanjing Medical University, China from June 2013 to December 2017. Patients' data were entered manually into WFO by the trained senior oncology fellows. Chemotherapy recommendations were provided in 3 categories, "Recommended", "For Consideration", and "Not Recommended". Concordance was achieved when oncologists' treatment suggestions were in the "Recommended" or "For Consideration" categories.
resultsThe chemotherapy regimen concordance was 69.4% among all breast cancer cases, 65.0% among the cases in adjuvant chemotherapy (AC) group and 96.7% among the cases in neoadjuvant chemotherapy (NAC) group. The concordance varied greatly in subset analysis with respect to TNM stage and molecular subtype. AC recommendations were concordant in 92.3% of stage III breast cancer and 50.8% of stage I. However, the concordance varied by molecular subtype, which was higher for triple negative breast cancer (89.3%) than others. The chemotherapy regimen concordance declined significantly with increasing age, except for the age group 41-50 years.
conclusionsChemotherapy regimens provided by WFO did not exhibit a high degree of agreement with those suggested by oncologists in clinical practice in the hospital in China. The current effort is underway to enhance WFO's capabilities as a cognitive decision support tool by incorporating regional guidelines, enabling oncologists and patients to benefit from WFO worldwide.
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