Noel Young

Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review

2023 · 82 Zit. · Artificial Intelligence in Medicine

Benchmarking the diagnostic test accuracy of certified AI products for screening pulmonary tuberculosis in digital chest radiographs: Preliminary evidence from a rapid review and meta-analysis

2023 · 15 Zit. · International Journal of Medical Informatics

Towards human-AI collaboration in radiology: a multidimensional evaluation of the acceptability of AI for chest radiograph analysis in supporting pulmonary tuberculosis diagnosis

2024 · 4 Zit. · JAMIA Open

Implementing AI-based Computer-Aided Diagnosis for Radiological Detection of Tuberculosis: A Multi-Stage Health Technology Assessment

2023 · 4 Zit.

Using AI-Driven Triaging to Optimise Clinical Workflows in Non-Emergency Outpatient Settings

2023 · 2 Zit.

Friday 20 October 2017

2017 · 1 Zit. · Journal of Medical Imaging and Radiation Oncology