Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review.

ABSTRACT:

Purpose

This scoping review aims to identify and summarise artificial intelligence (AI) methods applied to patient-reported outcome measures (PROMs) for prediction of patient outcomes, such as survival, quality of life, or treatment decisions.

Introduction

AI models have been successfully applied to predict outcomes for patients using mainly clinically focused data. However, systematic guidance for utilising AI and PROMs for patient outcome predictions is lacking. This leads to inconsistency of model development and evaluation, limited practical implications, and poor translation to clinical practice.

Materials and methods

This review was conducted across Web of Science, IEEE Xplore, ACM, Digital Library, Cochrane Central Register of Controlled Trials, Medline and Emb

SUBMITTER: Wojcik Z 

PROVIDER: S-EPMC11987430 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature