Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy

Subtle differences in a patient’s genetics and physiology may alter radiotherapy (RT) treatment responses, motivating the need for a more personalized treatment plan. Accordingly, we have developed a novel quantum deep reinforcement learning (qDRL) framework for clinical decision support that can es...

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Detalles Bibliográficos
Autores principales: Niraula, Dipesh, Jamaluddin, Jamalina, Matuszak, Martha M., Haken, Randall K. Ten, Naqa, Issam El
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651664/
https://www.ncbi.nlm.nih.gov/pubmed/34876609
http://dx.doi.org/10.1038/s41598-021-02910-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651664/
https://www.ncbi.nlm.nih.gov/pubmed/34876609
http://dx.doi.org/10.1038/s41598-021-02910-y

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