Artificial intelligence and lung cancer treatment decision: agreement with recommendation of multidisciplinary tumor board

Translational Lung Cancer Research
Min-Seok KimYoo-Duk Choi

Abstract

IBM Watson for Oncology (WFO) is a cognitive computing system helping physicians quickly identify key information in a patient's medical record, surface relevant evidence, and explore treatment options. This study assessed the possibility of using WFO for clinical treatment in lung cancer patients. We evaluated the level of agreement between WFO and multidisciplinary team (MDT) for lung cancer. From January to December 2018, newly diagnosed lung cancer cases in Chonnam National University Hwasun Hospital were retrospectively examined using WFO version 18.4 according to four treatment categories (surgery, radiotherapy, chemoradiotherapy, and palliative care). Treatment recommendations were considered concordant if the MDT recommendations were designated 'recommended' by WFO. Concordance between MDT and WFO was analyzed by Cohen's kappa value. In total, 405 (male 340, female 65) cases with different histology (adenocarcinoma 157, squamous cell carcinoma 132, small cell carcinoma 94, others 22 cases) were enrolled. Concordance between MDT and WFO occurred in 92.4% (k=0.881, P<0.001) of all cases, and concordance differed according to clinical stages. The strength of agreement was very good in stage IV non-small cell lung carcinoma...Continue Reading

Citations

Apr 23, 2021·Omics : a Journal of Integrative Biology·Biaoyang Lin, Shengjun Wu
Jun 6, 2021·Pulmonary Therapy·Vittorio GebbiaAlberto Firenze
Aug 8, 2021·Journal of Clinical Medicine·Hayoung ByunTae Hyun Kim

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