Literature DB >> 33746898

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

Hyeok Jun Yun1, Hee Jun Kim1, Soo Young Kim1, Yong Sang Lee1, Chi Young Lim2, Hang-Seok Chang1, Cheong Soo Park1.   

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. 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.
Copyright © 2021 Yun, Kim, Kim, Lee, Lim, Chang and Park.

Entities:  

Keywords:  IBM; Watson for Oncology; artificial intelligence; thyroid cancer; treatment recommendation

Mesh:

Year:  2021        PMID: 33746898      PMCID: PMC7968416          DOI: 10.3389/fendo.2021.585364

Source DB:  PubMed          Journal:  Front Endocrinol (Lausanne)        ISSN: 1664-2392            Impact factor:   5.555


  14 in total

Review 1.  Envisioning Watson as a rapid-learning system for oncology.

Authors:  Jennifer L Malin
Journal:  J Oncol Pract       Date:  2013-05       Impact factor: 3.840

2.  Watson will see you now: a supercomputer to help clinicians make informed treatment decisions.

Authors:  Susan Doyle-Lindrud
Journal:  Clin J Oncol Nurs       Date:  2015-02       Impact factor: 1.027

Review 3.  Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Authors:  Reid F Thompson; Gilmer Valdes; Clifton D Fuller; Colin M Carpenter; Olivier Morin; Sanjay Aneja; William D Lindsay; Hugo J W L Aerts; Barbara Agrimson; Curtiland Deville; Seth A Rosenthal; James B Yu; Charles R Thomas
Journal:  Radiother Oncol       Date:  2018-06-12       Impact factor: 6.280

4.  Prophylactic central neck dissection and local recurrence in papillary thyroid cancer: a meta-analysis.

Authors:  Tarek Zetoune; Xavier Keutgen; Daniel Buitrago; Hasan Aldailami; Huibo Shao; Madhu Mazumdar; Thomas J Fahey; Rasa Zarnegar
Journal:  Ann Surg Oncol       Date:  2010-07-02       Impact factor: 5.344

5.  Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board.

Authors:  S P Somashekhar; M-J Sepúlveda; S Puglielli; A D Norden; E H Shortliffe; C Rohit Kumar; A Rauthan; N Arun Kumar; P Patil; K Rhee; Y Ramya
Journal:  Ann Oncol       Date:  2018-02-01       Impact factor: 32.976

Review 6.  Systematic Review of Trends in the Incidence Rates of Thyroid Cancer.

Authors:  Joseph J Wiltshire; Thomas M Drake; Lesley Uttley; Sabapathy P Balasubramanian
Journal:  Thyroid       Date:  2016-11       Impact factor: 6.568

7.  Thyroid cancer mortality and incidence: a global overview.

Authors:  Carlo La Vecchia; Matteo Malvezzi; Cristina Bosetti; Werner Garavello; Paola Bertuccio; Fabio Levi; Eva Negri
Journal:  Int J Cancer       Date:  2014-10-13       Impact factor: 7.396

Review 8.  The past, present and future role of artificial intelligence in imaging.

Authors:  Mohammad Ihsan Fazal; Muhammed Ebrahim Patel; Jamie Tye; Yuri Gupta
Journal:  Eur J Radiol       Date:  2018-06-22       Impact factor: 3.528

9.  Is prophylactic central neck dissection necessary for cN0 differentiated thyroid cancer patients at initial treatment? A meta-analysis of the literature.

Authors:  J Liang; Z Li; F Fang; T Yu; S Li
Journal:  Acta Otorhinolaryngol Ital       Date:  2017-02       Impact factor: 2.124

10.  National Epidemiologic Survey of Thyroid cancer (NEST) in Korea.

Authors:  Chang-Mo Oh; Hyun-Joo Kong; Eunyang Kim; Hyejin Kim; Kyu-Won Jung; Sohee Park; Young-Joo Won
Journal:  Epidemiol Health       Date:  2018-10-26
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