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. 2019 Oct;24(10):1291-1293.
doi: 10.1634/theoncologist.2019-0267. Epub 2019 Jul 23.

Artificial Intelligence Systems Assisting Oncologists? Resist and Desist or Enlist and Coexist

Affiliations

Artificial Intelligence Systems Assisting Oncologists? Resist and Desist or Enlist and Coexist

Jacob J Adashek et al. Oncologist. 2019 Oct.

Abstract

The use of artificial intelligence (AI) has become an integral part of patient care, but there are concerns about the impact of non‐human decision assistance on patient outcomes. This commentary focuses on how AI can assist oncologists and benefit patients.

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Conflict of interest statement

Disclosures of potential conflicts of interest may be found at the end of this article.

Figures

Figure 1.
Figure 1.
Integration of artificial intelligence into the patient‐care workflow of clinical oncology. Abbreviations: MSI, microsatellite instability; NGS, next‐generation sequencing; OS, overall survival; PFS, progression‐free survival.

References

    1. Unger JM, Cook E, Tai E et al. The role of clinical trial participation in cancer research: Barriers, evidence, and strategies. Am Soc Clin Oncol Educ Book 2016;35:185–198. - PMC - PubMed
    1. Drug and device news . P T 2018;43:382–429. - PMC - PubMed
    1. De Fauw J, Ledsam JR, Romera‐Paredes B et al. Clinically applicable deep learning for diagnosis and referral in retinal disease. Nat Med 2018;24:1342–1350. - PubMed
    1. Ardila D, Kiraly AP, Bharadwaj S et al. End‐to‐end lung cancer screening with three‐dimensional deep learning on low‐dose chest computed tomography. Nat Med 2019;25:954–961. - PubMed
    1. Kather JN, Pearson AT, Halama N et al. Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer. Nat Med 2019. [Epub ahead of print]. - PMC - PubMed