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

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

Abstract 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 abili...

Full description

Bibliographic Details
Main Authors: Dipesh Niraula, Wenbo Sun, Jionghua Jin, Ivo D. Dinov, Kyle Cuneo, Jamalina Jamaluddin, Martha M. Matuszak, Yi Luo, Theodore S. Lawrence, Shruti Jolly, Randall K. Ten Haken, Issam El Naqa
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-32032-6

Internet

https://doi.org/10.1038/s41598-023-32032-6

Similar Items