Ontology highlight
ABSTRACT: Background
The advent of artificial intelligence (AI) tools in oncology to support clinical decision-making, reduce physician workload and automate workflow inefficiencies yields both great promise and caution. To generate high-quality evidence on the safety and efficacy of AI interventions, randomised controlled trials (RCTs) remain the gold standard. However, the completeness and quality of reporting among AI trials in oncology remains unknown.Objective
This systematic review investigates the reporting concordance of RCTs for AI interventions in oncology using the CONSORT (Consolidated Standards of Reporting Trials) 2010 and CONSORT-AI 2020 extension guideline and comprehensively summarises the state of AI RCTs in oncology.Methods and analysis
We queried OVID MEDL
SUBMITTER: Chen D
PROVIDER: S-EPMC12414185 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature