ARTIFICIAL INTELLIGENCE AND GERIATRIC ONCOLOGY
R. Zilich, R. Heidbreder, S. Barni
Vol.4 (2019), issue 2, pag. 12 - 21
| Received | 02/10/2019 |
| Accepted | 07/10/2019 |
| Published | 11/10/2019 |
| Review by | Single-blind |
ABSTRACT
e last few years have seen an increase in the number of publications regar- ding arti cial intelligence (AI) and machine learning (ML) in the eld of me- dicine, particularly as applied to oncology.1,2 In fact, precision medicine was initially developed thanks to the application of AI to oncology research, and actually represents a turning point for the delivery of targeted anti-tumor tre- atment based on the individual characteristics of each patient.
e presence of comorbidities together with a greater fragility makes the el- derly oncology patient more complex to manage. As such, any medical ap- proach that targets the “individual patient’ could only be bene cial in their treatment. Nevertheless, to date, the data related to the application of AI to oncogeriatrics are limited.
In this article we will review current applications of AI in oncology in order to evaluate and discuss the potential bene ts of a more intentional use of AI within the eld of oncogeriatrics.