Do-Hoon Kim, Y. Kim, Joon-Hyop Lee, Y. Chung, S. Choi, J. Kang, H. Park, Y. Chun
{"title":"A comparative study of Watson for Oncology and tumor boards in breast cancer treatment","authors":"Do-Hoon Kim, Y. Kim, Joon-Hyop Lee, Y. Chung, S. Choi, J. Kang, H. Park, Y. Chun","doi":"10.14216/KJCO.19002","DOIUrl":null,"url":null,"abstract":"The treatment methods for breast cancer are evolving rapidly. New therapies such as radiation therapy, chemotherapy, and endocrine therapy, have been developed with the improvements in science and technology, and now molecular genetic methods have been developed to greatly affect the treatment and prognosis of breast cancer. As of October 2017, there were 69 drugs approved by the Food and Drug Administration for breast cancer treatment [1]. In a situation where technology in various fields is developed [2], the guidelines for the diagnosis and treatment of breast cancer and the development of treatment plans are improving at an accelerating rate [3]. Therefore, it is necessary to choose a treatment that suits the individual characteristics of a patient, but there are too many factors for a physician to synthesize and determine the knowledge in all fields. Clinical decision-support systems can be a great solution to Original Article Korean Journal of Clinical Oncology 2019;15:3-6 https://doi.org/10.14216/kjco.19002 pISSN 1738-8082 ∙ eISSN 2288-4084","PeriodicalId":74045,"journal":{"name":"Korean journal of clinical oncology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean journal of clinical oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14216/KJCO.19002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The treatment methods for breast cancer are evolving rapidly. New therapies such as radiation therapy, chemotherapy, and endocrine therapy, have been developed with the improvements in science and technology, and now molecular genetic methods have been developed to greatly affect the treatment and prognosis of breast cancer. As of October 2017, there were 69 drugs approved by the Food and Drug Administration for breast cancer treatment [1]. In a situation where technology in various fields is developed [2], the guidelines for the diagnosis and treatment of breast cancer and the development of treatment plans are improving at an accelerating rate [3]. Therefore, it is necessary to choose a treatment that suits the individual characteristics of a patient, but there are too many factors for a physician to synthesize and determine the knowledge in all fields. Clinical decision-support systems can be a great solution to Original Article Korean Journal of Clinical Oncology 2019;15:3-6 https://doi.org/10.14216/kjco.19002 pISSN 1738-8082 ∙ eISSN 2288-4084