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David Hua
David Hua
Verified email at uni.sydney.edu.au
Title
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Cited by
Year
Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review
D Hua, N Petrina, N Young, JG Cho, SK Poon
Artificial Intelligence in Medicine 147, 102698, 2024
312024
Benchmarking the diagnostic test accuracy of certified AI products for screening pulmonary tuberculosis in digital chest radiographs: preliminary evidence from a rapid review …
D Hua, K Nguyen, N Petrina, N Young, JG Cho, A Yap, SK Poon
International Journal of Medical Informatics, 105159, 2023
42023
Implementing AI-based Computer-Aided Diagnosis for Radiological Detection of Tuberculosis: A Multi-Stage Health Technology Assessment
D Hua, N Petrina, N Young, JG Cho, SK Poon
2023 IEEE International Conference on Digital Health (ICDH), 353-355, 2023
22023
Using AI-Driven Triaging to Optimise Clinical Workflows in Non-Emergency Outpatient Settings: A Real-World Case Study Concerning the Screening of Tuberculosis
D Hua, N Petrina, N Young, JG Cho, A Sacks, S Poon
Proceedings of the 2023 Australasian Computer Science Week, 240-243, 2023
22023
Standardisation, trust and democratic principles: the global race to regulate artificial intelligence
JMB y Villarino, D Hua, B Wang, M Trezise
APO: Analysis & Policy Observatory, 2023
2023
Evaluating the Acceptability, System Usability, And Workflow Impacts of AI Diagnostic Imaging Medical Decision Support Systems in Radiology: a Methodological Research Protocol
D Hua, N Petrina, N Young, JG Cho, SK Poon
AMIA 2023 Annual Symposium, 2023
2023
Towards Human-AI Collaboration in Radiology: A Clinical Evaluation of AI for Image Analysis of Chest Radiographs to Assist with Diagnosing Pulmonary Tuberculosis
D Hua, N Petrina, AJ Sacks, N Young, JG Cho, R Smith, SK Poon
AMIA 2023 Annual Symposium - AI Showcase Stage III, 2023
2023
AI is My Co-Pilot: A Study of How Human-Machine Collaboration Augments Clinical Practice
D Hua, N Petrina, N Young, JG Cho, SK Poon
Lumus Imaging National Imaging Conference: View to the Future, 2022
2022
Using slider scales for fuzzy-set qualitative comparative analysis (fsQCA): a fuzzy-set-theoretic approach to measuring degrees of membership
D Hua, N Petrina, SK Poon
8th Biennial ACSPRI Social Science Methodology Conference, 2022
2022
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