This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1397) Innovations and Technology in Cancer Care (422)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29455, first published .
Optimal Treatment Selection in Sequential Systemic and Locoregional Therapy of Oropharyngeal Squamous Carcinomas: Deep Q-Learning With a Patient-Physician Digital Twin Dyad

Optimal Treatment Selection in Sequential Systemic and Locoregional Therapy of Oropharyngeal Squamous Carcinomas: Deep Q-Learning With a Patient-Physician Digital Twin Dyad

Optimal Treatment Selection in Sequential Systemic and Locoregional Therapy of Oropharyngeal Squamous Carcinomas: Deep Q-Learning With a Patient-Physician Digital Twin Dyad

Authors of this article:

Elisa Tardini1, 2 Author Orcid Image ;   Xinhua Zhang1 Author Orcid Image ;   Guadalupe Canahuate3 Author Orcid Image ;   Andrew Wentzel1 Author Orcid Image ;   Abdallah S R Mohamed4, 5 Author Orcid Image ;   Lisanne Van Dijk4 Author Orcid Image ;   Clifton D Fuller4, 5 Author Orcid Image ;   G Elisabeta Marai1 Author Orcid Image
Article Authors Cited by (16) Tweetations (5) Metrics

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  9. Mollica L, Leli C, Sottotetti F, Quaglini S, Locati L, Marceglia S. Digital twins: a new paradigm in oncology in the era of big data. ESMO Real World Data and Digital Oncology 2024;5:100056 View
  10. Drummond D, Gonsard A. Digital twins of patients: an introduction based on a scoping review (Preprint). Journal of Medical Internet Research 2024 View
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