Princess Alexandra Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 267 Zit.
Exploring stakeholder attitudes towards AI in clinical practice
Ian Scott, Stacy M. Carter, Enrico Coiera
2021 · 176 Zit.
Clinician checklist for assessing suitability of machine learning applications in healthcare
Ian Scott, Stacy M. Carter, Enrico Coiera
2021 · 139 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 · 69 Zit.
Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
Ramy Abou Ghayda, Rossella Cannarella, Aldo E. Calogero et al.
2023 · 67 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.
Predicting Patient Deterioration: A Review of Tools in the Digital Hospital Setting
Kay Mann, Norm Good, Farhad Fatehi et al.
2021 · 54 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.
Radiographer commenting of trauma radiographs: A survey of the benefits, barriers and enablers to participation in an <scp>A</scp>ustralian healthcare setting
Michael J. Neep, Tom Steffens, Rebecca Owen et al.
2014 · 40 Zit.
Toward a Learning Health Care System: A Systematic Review and Evidence-Based Conceptual Framework for Implementation of Clinical Analytics in a Digital Hospital
Han Chang Lim, Jodie A Austin, Anton van der Vegt et al.
2022 · 39 Zit.
Achieving large-scale clinician adoption of AI-enabled decision support
Ian Scott, Anton van der Vegt, Paul Lane et al.
2024 · 39 Zit.
Demystifying machine learning: a primer for physicians
Ian Scott
2021 · 38 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.
Automation and artificial intelligence in radiation therapy treatment planning
Scott Jones, Kenton Thompson, Brian F. Porter et al.
2023 · 35 Zit.
Evidence-based medicine and machine learning: a partnership with a common purpose
Ian Scott, David Cook, Enrico Coiera
2020 · 24 Zit.