Prince Charles Hospital

Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation

Ryo Fujimori, Keibun Liu, Shoko Soeno et al.

2022 · 83 Zit.

Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework

Anton van der Vegt, Ian Scott, Krishna Dermawan et al.

2023 · 72 Zit.

Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework

Anton van der Vegt, Ian Scott, Krishna Dermawan et al.

2023 · 52 Zit.

Conversational artificial intelligence interventions to support smoking cessation: A systematic review and meta-analysis

Hollie Bendotti, Sheleigh Lawler, Gary Chan et al.

2023 · 45 Zit.

Achieving large-scale clinician adoption of AI-enabled decision support

Ian Scott, Anton van der Vegt, Paul Lane et al.

2024 · 42 Zit.

Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain

Anton van der Vegt, Victoria Campbell, Imogen Mitchell et al.

2023 · 38 Zit.

Machine learning approaches for risk prediction after percutaneous coronary intervention: a systematic review and meta-analysis

Ammar Zaka, D. Mutahar, J. Gorcilov et al.

2024 · 18 Zit.

An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 1 Foundational Knowledge

Blair E. Warren, Alexander Bilbily, Judy Wawira Gichoya et al.

2024 · 10 Zit.

Challenges for implementing generative artificial intelligence (<scp>GenAI</scp>) into clinical healthcare

Lynden Roberts, Rajiv Jayasena, Sankalp Khanna et al.

2025 · 9 Zit.

Machine Learning vs Traditional Approaches to Predict All-Cause Mortality for Acute Coronary Syndrome: A Systematic Review and Meta-analysis

Aashray Gupta, Cecil Mustafiz, D. Mutahar et al.

2025 · 7 Zit.

False hope of a single generalisable AI sepsis prediction model: bias and proposed mitigation strategies for improving performance based on a retrospective multisite cohort study

Rudolf J Schnetler, Anton van der Vegt, Vikrant R Kalke et al.

2025 · 6 Zit.

Artificial intelligence enhanced contemporary pulmonary hypertension care

Pyi Naing, G. Scalia, D. Murdoch et al.

2025 · 1 Zit.

Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation (Preprint)

Ryo Fujimori, Keibun Liu, Shoko Soeno et al.

2022 · 1 Zit.

Comparison of Machine Learning and Traditional Methods for Prediction of Adverse Clinical Events After Percutaneous Coronary Intervention

A. Zaka, J. Gorcilov, D. Mutahar et al.

2024 · 0 Zit.

A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar

Anton van der Vegt, Victoria Campbell, Robert Webb et al.

2025 · 0 Zit.