RPS 1605 - Artificial intelligence: real world results and large European projects

Assessing the effectiveness of artificial intelligence (AI) in prioritising CT Head interpretation: a stepped-wedge cluster-randomised trial (ACCEPT-AI)

ONCOPILOT: A Promptable CT Foundation Model For Solid Tumor Evaluation

Evaluating artificial intelligence for lung cancer detection on chest radiographs: multi-vendor comparison of diagnostic accuracy in a real-world UK population

Evaluation of AI-assisted Diagnosis of Clinically Significant Prostate Cancer on MRI at Scale: Preliminary Findings from the PI-CAI Consortium

The PANORAMA study results: Pancreatic Cancer Diagnosis - Radiologists meet AI

Development and Implementation of a Web-Based Platform for Clinical Validation of Artificial Intelligence Models in Five Cancer Types: An Initiative of the European CHAIMELEON Project

Hospital patients' attitudes towards AI worldwide: Results from the COMFORT study in 74 hospitals and 43 countries

Implementing Artificial Intelligence with a Multi-AI Platform across 15 centres: Experience and Strategy from an International Healthcare Organization

From theory to practice: Re-identification Challenge to test imaging data anonymization effectiveness

Establishing an applied framework to establish the trustworthiness of an international secure data environment for AI in CT imaging (AICT Consortium)

Time impact of AI-Assisted knee MRI reading in a real-world multi-center study within a radiology network

PARROT: A Collaborative Polyglottal Annotated Radiology Reports Database for Open Testing of Large Language Models