2023, Number 4
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Acta Med 2023; 21 (4)
Concordance study between the ''Watson for Oncology'' system and clinical practice in breast cancer patients at the Hospital Angeles Pedregal
Mellado OR, Escobar AE, De MMH, Díaz GEJ, Rodríguez WFL
Language: Spanish
References: 23
Page: 338-342
PDF size: 143.81 Kb.
ABSTRACT
Introduction: artificial intelligence has overcome the ability of some experts to diagnose and offer treatments with precision. It is estimated that a doctor should read more than 20 hours a day on medical literature to keep up. Watson for Oncology (WFO) system is a cognitive software designed to process sizeable medical literature focused on cancer patients and offer therapeutic options.
Objective: to describe the concordance of adjuvant treatment for patients with breast cancer among a group of expert oncologists from Hospital Angeles Pedregal and the adjuvant treatment suggested by the Watson for Oncology system.
Material and methods: it is a descriptive, single-center study at Hospital Angeles Pedregal, which included 58 patients diagnosed with breast cancer from January 2017 to December 2019.
Results: adjuvant treatment by oncologists was 100% consistent with WFO system recommendations. 20% of the patients had a recommendation for adjuvant chemotherapy, and 25% had a recommendation for sequential chemotherapy with anthracyclines.
Conclusions: the WFO system is software that has a high concordance with expert oncologists when it comes to suggesting adjuvant treatments for patients with breast cancer.
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