Fergus Gleeson

Implementation of artificial intelligence in thoracic imaging—a what, how, and why guide from the European Society of Thoracic Imaging (ESTI)

2023 · 29 Zit. · European Radiology

Evaluation of the impact of artificial intelligence-assisted image interpretation on the diagnostic performance of clinicians in identifying pneumothoraces on plain chest X-ray: a multi-case multi-reader study

2024 · 24 Zit. · Emergency Medicine Journal

Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic

2021 · 14 Zit. · Digital Health

Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI): protocol for a prospective observational study

2024 · 11 Zit. · BMJ Open

15 The Integration and Analysis of Data using Artificial Intelligence to Improve Patient Outcomes with Thoracic Diseases (DART) research programme.

2024 · 1 Zit. · Lung Cancer

S31 Early insights into the data from the artificial intelligence and big data for early lung cancer diagnosis prospective study (phase 2) (IDEAL study)

2025 · 0 Zit.

S32 Clinical readiness of AI tumour volume quantification in mesothelioma: results of the meso-Q study

2025 · 0 Zit.

Does AI-Assisted Chest X-ray Interpretation Influence Clinical Management of Frontline Clinicians?

2025 · 0 Zit. · The Royal College of Radiologists Open