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

Journal: Frontiers in endocrinology
Published Date: Jan 1, 2021

Abstract

BACKGROUND: 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.

Authors

  • Hyeok Jun Yun
    Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Hee Jun Kim
    Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Soo Young Kim
    Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Yong Sang Lee
    Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Chi Young Lim
    Department of Surgery, National Health Insurance Service Ilsan Hospital, Goyang-si, South Korea.
  • Hang-Seok Chang
    Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Cheong Soo Park
    Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

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