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

BACKGROUND: Currently, selection of patients for sequential versus concurrent chemotherapy and radiation regimens lacks evidentiary support and it is based on locally optimal decisions for each step. OBJECTIVE: We aim to optimize the multistep treatment of patients with head and neck cancer and pred...

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Bibliographic Details
Main Authors: Canahuate, G. (Author), Fuller, C.D (Author), Marai, G.E (Author), Mohamed, A.S.R (Author), Tardini, E. (Author), Van Dijk, L. (Author), Wentzel, A. (Author), Zhang, X. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2022
Subjects:
digital twin dyad
head and neck cancer
Head and Neck Neoplasms
head and neck tumor
human
Humans
patient selection
Patient Selection
physician
Physicians
prognosis
Prognosis
reinforcement learning
Retrospective Studies
retrospective study
Squamous Cell Carcinoma of Head and Neck
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