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

Clinical Information and Decision Making (1436) Innovations and Technology in Cancer Care (431)

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 (17) Tweetations (5) Metrics

Elisa Tardini   1, 2 , BSc, MSc ;   Xinhua Zhang   1 , BSc, MSc, PhD ;   Guadalupe Canahuate   3 , BSc, MSc, PhD ;   Andrew Wentzel   1 , BSc, MSc ;   Abdallah S R Mohamed   4, 5 , MSc, MD ;   Lisanne Van Dijk   4 , PhD ;   Clifton D Fuller   4, 5 , BSc, MD, PhD ;   G Elisabeta Marai   1 , PhD

1 Department of Computer Science, University of Illinois at Chicago, Chicago, IL, United States

2 Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

3 Department of Electrical and Computer Engineering, University Of Iowa, Iowa City, IA, United States

4 MD Anderson Cancer Center, Houston, TX, United States

5 Department of Radiation Oncology, The University of Texas, Austin, TX, United States

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