David Hua

According to our database, David Hua authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review.

David Hua, Neysa Petrina, Noel Young, Jin-Gun Cho, Simon K. Poon

Artif. Intell. Medicine, January, 2024

2023

Initializing Global Objects: Time and Order.

Fengyun Liu, Ondrej Lhoták, David Hua, Enze Xing

Proc. ACM Program. Lang., October, 2023

Benchmarking the diagnostic test accuracy of certified AI products for screening pulmonary tuberculosis in digital chest radiographs: Preliminary evidence from a rapid review and meta-analysis.

David Hua, Khang Nguyen, Neysa Petrina, Noel Young, Jin-Gun Cho, Adeline Yap, Simon K. Poon

Int. J. Medical Informatics, September, 2023

ChatGPT or academic scientist? Distinguishing authorship with over 99% accuracy using off-the-shelf machine learning tools.

Heather Desaire, Aleesa E. Chua, Madeline Isom, Romana Jarosova, David Hua

CoRR, 2023

Implementing AI-based Computer-Aided Diagnosis for Radiological Detection of Tuberculosis: A Multi-Stage Health Technology Assessment.

David Hua, Neysa Petrina, Noel Young, Jin-Gun Cho, Simon K. Poon

Proceedings of the IEEE International Conference on Digital Health, 2023

Using AI-Driven Triaging to Optimise Clinical Workflows in Non-Emergency Outpatient Settings: A Real-World Case Study Concerning the Screening of Tuberculosis.

David Hua, Neysa Petrina, Noel Young, Jin-Gun Cho, Alan Sacks, Simon K. Poon

Proceedings of the 2023 Australasian Computer Science Week, 2023