1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Real-World Performance of Autonomously Reporting Normal Chest Radiographs in NHS Trusts Using a Deep-Learning Algorithm on the GP Pathway
Jordan Smith, Tom Naunton Morgan, Paul Williams +2
AIM To analyse the performance of a deep-learning (DL) algorithm currently deployed as diagnostic decision support software in two NHS Trusts used to identify normal chest x-rays i…
eess.IV2022
Robustness of an Artificial Intelligence Solution for Diagnosis of Normal Chest X-Rays
Tom Dyer, Jordan Smith, Gaetan Dissez +7
Purpose: Artificial intelligence (AI) solutions for medical diagnosis require thorough evaluation to demonstrate that performance is maintained for all patient sub-groups and to en…
eess.IV2022★ 1 cited
Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study
Gaetan Dissez, Nicole Tay, Tom Dyer +14
Objectives: The present study evaluated the impact of a commercially available explainable AI algorithm in augmenting the ability of clinicians to identify lung cancer on chest X-r…