Cyril M. Tang
Sydney, NSW, Australia
Last Updated: 09/26/2026
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Found 9 publications
Applications and potential of machine, learning augmented chest X-ray interpretation in cardiology.
Journal: Minerva cardiology and angiology
Published: November 13, 2024
Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification.
Journal: Diagnostics (Basel, Switzerland)
Published: June 09, 2023
Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review.
Journal: Diagnostics (Basel, Switzerland)
Published: January 19, 2023
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy.
Journal: European radiology
Published: November 29, 2022
Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study.
Journal: BMJ open
Published: December 21, 2021
Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography.
Journal: BMJ open
Published: December 08, 2021
Cardiac risk assessment with the Revised Cardiac Risk Index index before elective non-cardiac surgery: A retrospective audit from an Australian tertiary hospital.
Journal: Anaesthesia and intensive care
Published: November 13, 2021
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.
Journal: The Lancet. Digital health
Published: November 03, 2020
Efficient deprotection of F-BODIPY derivatives: removal of BF2 using Brønsted acids.
Journal: Beilstein journal of organic chemistry
Published: September 22, 2014
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Last Updated: 09/26/2026