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Adequacy and Effectiveness of Watson For Oncology in the Treatment of Thyroid Carcinoma

Authors
 Hyeok Jun Yun  ;  Hee Jun Kim  ;  Soo Young Kim  ;  Yong Sang Lee  ;  Chi Young Lim  ;  Hang-Seok Chang  ;  Cheong Soo Park 
Citation
 FRONTIERS IN ENDOCRINOLOGY, Vol.12 : 585364, 2021-03 
Journal Title
FRONTIERS IN ENDOCRINOLOGY
Issue Date
2021-03
Keywords
IBM ; Watson for Oncology ; artificial intelligence ; thyroid cancer ; treatment recommendation
Abstract
ackground: IBM's Watson for Oncology (WFO) is an artificial intelligence tool that trains by acquiring data from the Memorial Sloan Kettering Cancer Center and learns from test cases and experts. This study aimed to analyze the adequacy and effectiveness of WFO in determining the treatment method for patients with thyroid carcinoma.

Materials and methods: We retrospectively enrolled 50 patients with thyroid cancer who underwent surgery in 2018 and entered their clinical data into WFO. The WFO treatment recommendations were compared with the surgical procedures and recommended treatments performed according to the Korean Thyroid Endocrine Surgery Association guidelines.

Results: The overall concordance rate between WFO-recommended treatments and actual surgical treatments was 48%, and for patients with stage I, II, and III disease, these rates were 52.4, 50, and 16.7%, respectively. A lower concordance rate was observed with respect to treatment for advanced thyroid cancer.

Conclusion: WFO is a useful clinical aid but must be used with caution. A surgeon's decision takes precedence over WFO recommendations in the treatment of advanced thyroid cancer.
Files in This Item:
T202124845.pdf Download
DOI
10.3389/fendo.2021.585364
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Soo Young(김수영) ORCID logo https://orcid.org/0000-0002-8919-3456
Kim, Hee Jun(김희준)
Park, Cheong Soo(박정수)
Yun, Hyeok Jun(윤혁준) ORCID logo https://orcid.org/0000-0001-6004-0782
Lee, Yong Sang(이용상) ORCID logo https://orcid.org/0000-0002-8234-8718
Chang, Hang Seok(장항석) ORCID logo https://orcid.org/0000-0002-5162-103X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/184672
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