The Fidelity of Artificial Intelligence to Multidisciplinary Tumor Board Recommendations for Patients with Gastric Cancer: A Retrospective Study.

Journal: Journal of gastrointestinal cancer
Published Date:

Abstract

PURPOSE: Due to significant growth in the volume of information produced by cancer research, staying abreast of recent developments has become a challenging task. Artificial intelligence (AI) can learn, reason, and understand the enormous corpus of literature available to the scientific community. However, large-scale studies comparing the recommendations of AI and a multidisciplinary team board (MTB) in gastric cancer treatment have rarely been performed. Therefore, a retrospective real-world study was conducted to assess the level of concordance between AI and MTB treatment recommendations.

Authors

  • Yong-Eun Park
    Department of Surgery, College of Medicine, Yeungnam University, 170 Hyeonchungno, Nam-gu, Daegu, 42415, Korea. cjschddnsrja@gmail.com.
  • Hyundong Chae
    Department of Surgery, School of Medicine, Catholic University of Daegu, 33, Duryugongwon-ro 17-gil, Nam-gu, Daegu, Republic of Korea.