Interpretable AI-assisted clinical decision making (CDM) for dose prescription in radiosurgery of brain metastases.

ABSTRACT:

Purpose

AI modeling physicians' clinical decision-making (CDM) can improve the efficiency and accuracy of clinical practice or serve as a surrogate to provide initial consultations to patients seeking secondary opinions. In this study, we developed an interpretable AI model that predicts dose fractionation for patients receiving radiation therapy for brain metastases with an interpretation of its decision-making process.

Materials/methods

152 patients with brain metastases treated by radiosurgery from 2017 to 2021 were obtained. CT images and target and organ-at-risk (OAR) contours were extracted. Eight non-image clinical parameters were also extracted and digitized, including age, the number of brain metastasis, ECOG performance status, presence of symptoms, sequencing with

SUBMITTER: Cao Y 

PROVIDER: S-EPMC11195016 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature