Princess Alexandra Hospital

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

Jane Scheetz, Philip Rothschild, Myra B. McGuinness et al.

2021 · 260 Zit.

Exploring stakeholder attitudes towards AI in clinical practice

Ian Scott, Stacy M. Carter, Enrico Coiera

2021 · 168 Zit.

Clinician checklist for assessing suitability of machine learning applications in healthcare

Ian Scott, Stacy M. Carter, Enrico Coiera

2021 · 136 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 · 63 Zit.

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

Ramy Abou Ghayda, Rossella Cannarella, Aldo E. Calogero et al.

2023 · 62 Zit.

Medical students’ perceptions and expectations regarding digital health education and training: A qualitative study

Sisira Edirippulige, Sophie Gong, Malshi Hathurusinghe et al.

2020 · 56 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 · 51 Zit.

Machine learning models for diabetes management in acute care using electronic medical records: A systematic review

Amir Kamel Rahimi, Oliver J. Canfell, Wilkin Chan et al.

2022 · 38 Zit.

Demystifying machine learning: a primer for physicians

Ian Scott

2021 · 37 Zit.

Automation and artificial intelligence in radiation therapy treatment planning

Scott Jones, Kenton Thompson, Brian F. Porter et al.

2023 · 35 Zit.

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

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

2024 · 35 Zit.

Evidence-based medicine and machine learning: a partnership with a common purpose

Ian Scott, David Cook, Enrico Coiera

2020 · 24 Zit.

Environmental impact of large language models in medicine

Oliver Kleinig, Sanjay Sinhal, Rushan Khurram et al.

2024 · 17 Zit.

What is needed to mainstream artificial intelligence in health care?

Ian Scott, Ahmad Abdel‐Hafez, Michael Barras et al.

2021 · 13 Zit.

Health Economic Implications of Artificial Intelligence Implementation for Ophthalmology in Australia: A Systematic Review

James Pietris, Antoinette Lam, Stephen Bacchi et al.

2022 · 13 Zit.