James H.F. Rudd

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

2020 · 937 Zit. · Research Explorer (The University of Manchester)

Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants

2019 · 594 Zit. · PLoS ONE

Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise

2021 · 32 Zit. · Radiology Artificial Intelligence

85P Introducing ambient voice technology to enhance clinical documentation efficacy and patient focused communications: Pre-implementation time and motion study in the haemato-oncology outpatient setting

2025 · 0 Zit. · ESMO Real World Data and Digital Oncology