A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS)

Involvement of many variables, uncertainty in treatment response, and inter-patient heterogeneity challenge objective decision-making in dynamic treatment regime (DTR) in oncology. Advanced machine learning analytics in conjunction with information-rich dense multi-omics data have the ability to ove...

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Detalles Bibliográficos
Autores principales: Niraula, Dipesh, Sun, Wenbo, Jin, Jionghua, Dinov, Ivo D., Cuneo, Kyle, Jamaluddin, Jamalina, Matuszak, Martha M., Luo, Yi, Lawrence, Theodore S., Jolly, Shruti, Ten Haken, Randall K., El Naqa, Issam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066294/
https://www.ncbi.nlm.nih.gov/pubmed/37002296
http://dx.doi.org/10.1038/s41598-023-32032-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066294/
https://www.ncbi.nlm.nih.gov/pubmed/37002296
http://dx.doi.org/10.1038/s41598-023-32032-6

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